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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 13631
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    Explanations

    phrases related to communication and discussion

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the need for communication and discussing plans or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     WATCHED
    -0.78
     "#
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     Zucker
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    gaard
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    NFL
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    uably
    -0.62
     NASCAR
    -0.62
    endi
    -0.62
    weet
    -0.60
    NAS
    -0.60
    POSITIVE LOGITS
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    1.76
    ..."
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    1.56
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    1.50
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    1.29
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    1.24
    ?ãĢį
    1.22
    !?"
    1.19
    .ãĢį
    1.18
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    1.16
    Activations Density 0.651%

    No Known Activations