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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. 4294
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    Explanations

    hyphenated numerical values related to sports statistics

    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
     Reincarn
    -0.63
     Alic
    -0.62
    blance
    -0.60
     Herald
    -0.58
     Tol
    -0.58
     combustion
    -0.58
     Ideal
    -0.57
     Subtle
    -0.56
     cleaners
    -0.56
     Lowell
    -0.56
    POSITIVE LOGITS
    Unit
    0.84
    protein
    0.83
    vernment
    0.82
    hene
    0.81
    HOU
    0.77
    NFL
    0.77
    ente
    0.75
    SI
    0.74
    League
    0.73
    rib
    0.73
    Activations Density 0.100%

    No Known Activations