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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. 5187
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    Explanations

    mentions of additional items or information

    oai_token-act-pair · gpt-3.5-turbo
    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
    bis
    -0.74
    =-=-=-=-=-=-=-=-
    -0.73
    same
    -0.73
    generic
    -0.73
    Lua
    -0.71
    ertodd
    -0.71
    lua
    -0.70
     Alone
    -0.67
    uay
    -0.66
    classic
    -0.65
    POSITIVE LOGITS
    judicial
    1.09
     impetus
    0.94
     layers
    0.94
     steps
    0.83
     dimensions
    0.82
     information
    0.82
    ordinary
    0.81
     avenues
    0.80
     manpower
    0.79
     installments
    0.79
    Activations Density 0.036%

    No Known Activations