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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. 2225
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    Explanations

    words related to miscellaneous items or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to miscellaneous topics and specific instances of miscarriage

    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
    ku
    -0.92
    akeru
    -0.89
    zai
    -0.88
    gypt
    -0.87
    culosis
    -0.78
    incerity
    -0.76
     Roosevelt
    -0.75
    eker
    -0.73
    tic
    -0.72
    SPA
    -0.71
    POSITIVE LOGITS
    onduct
    1.04
     misc
    0.94
    ouri
    0.90
    ategor
    0.88
    urnal
    0.87
     unfocusedRange
    0.78
    onductor
    0.75
    ruit
    0.73
    ORPG
    0.72
    angle
    0.70
    Activations Density 0.016%

    No Known Activations