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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. 23139
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    INDEX
    Explanations

    references to specific organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific organizations or institutions

    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
    perse
    -0.85
    Ô
    -0.82
    conserv
    -0.78
    ãĤ¨ãĥ«
    -0.78
    hots
    -0.77
    chwitz
    -0.74
    ufact
    -0.74
    etime
    -0.73
    vironments
    -0.72
    erville
    -0.72
    POSITIVE LOGITS
     itself
    0.92
     hierarchy
    0.91
     logo
    0.81
     Gazette
    0.81
     treasury
    0.80
    's
    0.80
     ecosystem
    0.80
     Museum
    0.80
     presidency
    0.78
     economy
    0.78
    Activations Density 0.335%

    No Known Activations