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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. 7276
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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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    Negative Logits
     marches
    -0.67
    imer
    -0.64
     nightly
    -0.63
     Premiere
    -0.62
     lectures
    -0.62
     alike
    -0.60
     sequ
    -0.60
    zza
    -0.60
     Nationals
    -0.59
     rooft
    -0.59
    POSITIVE LOGITS
     Cancel
    0.78
    ļéĨĴ
    0.74
     exceeded
    0.72
     affirmative
    0.65
     timeout
    0.65
     Invalid
    0.65
    erc
    0.64
    send
    0.62
    ?????-?????-
    0.61
    successfully
    0.60
    Activations Density 0.034%

    No Known Activations