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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. 9-RES-JB
    11. 22895
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    Explanations

    controversial topics or debates

    oai_token-act-pair · gpt-3.5-turbo

    instances of division or disagreement among groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    obo
    -0.74
    nov
    -0.71
    OVA
    -0.69
    ãĥ¼ãĥĨãĤ£
    -0.63
    panic
    -0.62
    upt
    -0.61
    ONG
    -0.61
    ubi
    -0.60
    stro
    -0.57
    ols
    -0.56
    POSITIVE LOGITS
     whether
    1.67
    whether
    1.39
     how
    1.07
     why
    0.97
     questions
    0.94
     Whether
    0.92
     reconcil
    0.90
    Whether
    0.88
     answers
    0.86
    how
    0.85
    Activations Density 0.563%

    No Known Activations