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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. 0-RES-JB
    11. 11718
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    Explanations

    references to specific gun manufacturers and adjustable features on equipment

    oai_token-act-pair · gpt-3.5-turbo

    references to specific brands or manufacturers, particularly those related to firearms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    áµ
    -0.76
    FUL
    -0.69
    ãĤ¼
    -0.68
     eaten
    -0.67
    lins
    -0.66
    ppings
    -0.64
    _>
    -0.62
     Feng
    -0.62
    uel
    -0.61
    mie
    -0.61
    POSITIVE LOGITS
    adjust
    1.73
     /
    0.86
    coord
    0.74
     Adjust
    0.70
     Misc
    0.68
    asses
    0.68
     CoC
    0.68
    abus
    0.66
    ascript
    0.63
     Vita
    0.62
    Activations Density 0.001%

    No Known Activations