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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. 10-RES-JB
    11. 18616
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    Explanations

    phrases related to communication and working through issues

    oai_token-act-pair · gpt-3.5-turbo

    conversational cues indicating necessity or planning for future discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     "#
    -0.84
    xtap
    -0.74
     WATCHED
    -0.71
     "@
    -0.67
    CONCLUS
    -0.65
    ĺħ
    -0.65
     "{
    -0.62
    endi
    -0.61
    NFL
    -0.61
     ILCS
    -0.61
    POSITIVE LOGITS
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    1.71
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    1.66
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    1.53
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    1.34
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    1.32
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    1.30
    âĢ¦."
    1.27
    ?!"
    1.25
    .ãĢį
    1.18
    Activations Density 0.388%

    No Known Activations