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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
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    Explanations

    mentions of the Middle East

    oai_token-act-pair · gpt-3.5-turbo

    words related to ideologies

    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
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    No Comments

    Negative Logits
    enegger
    -0.85
    ufact
    -0.81
    itton
    -0.80
    ichick
    -0.76
    iona
    -0.75
    cffff
    -0.72
    thening
    -0.70
    ultz
    -0.68
    sembly
    -0.66
    STON
    -0.66
    POSITIVE LOGITS
    ously
    0.87
    lli
    0.86
    gger
    0.82
    lla
    0.81
    ll
    0.80
    llo
    0.80
    llan
    0.76
    aux
    0.70
    vice
    0.68
    OLOG
    0.67
    Activations Density 0.013%

    No Known Activations