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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

    references to or mentions of the Holocaust

    oai_token-act-pair · gpt-3.5-turbo

    references to the Holocaust and related historical contexts

    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
    ateur
    -0.91
    uana
    -0.81
    amina
    -0.77
    ordinate
    -0.75
    tails
    -0.74
    luent
    -0.71
    semble
    -0.71
    iant
    -0.70
    gary
    -0.69
    idas
    -0.69
    POSITIVE LOGITS
    ocaust
    1.23
     Holocaust
    1.13
     Remem
    0.85
     survivor
    0.83
     Survivor
    0.81
    wald
    0.79
     Genocide
    0.79
     survivors
    0.79
     Auschwitz
    0.78
     den
    0.75
    Activations Density 0.011%

    No Known Activations