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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. 4-RES-JB
    11. 6437
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fare
    -0.81
    WAYS
    -0.79
    ORGE
    -0.76
    BALL
    -0.75
    WAY
    -0.70
    à¨
    -0.69
    ãģ®ç
    -0.69
     Koreans
    -0.68
    ãĥĥãĤ¯
    -0.67
    âĢ¢âĢ¢
    -0.67
    POSITIVE LOGITS
    ibilities
    1.28
    ibly
    1.22
    ively
    1.12
    ible
    1.08
    idy
    1.07
    alez
    1.06
    ensible
    1.00
    emic
    0.97
    respons
    0.95
    encies
    0.94
    Activations Density 0.009%

    No Known Activations