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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. 10736
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    Explanations

    mentions of the material "wood."

    oai_token-act-pair · gpt-3.5-turbo

    references to wood

    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
    uberty
    -0.85
    ochet
    -0.67
     aver
    -0.67
    VICE
    -0.66
     Katz
    -0.64
     Friedman
    -0.63
    ansky
    -0.63
     Patri
    -0.62
    inen
    -0.61
    orsche
    -0.61
    POSITIVE LOGITS
    worker
    1.06
    working
    1.02
    blocks
    0.98
    \\\\\\\\
    0.98
    wood
    0.96
     wood
    0.95
     pulp
    0.93
    lake
    0.92
    ruff
    0.91
    work
    0.90
    Activations Density 0.011%

    No Known Activations