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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. 2245
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    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
     Sigma
    -0.72
    dq
    -0.69
    inational
    -0.69
    enance
    -0.63
    ggies
    -0.61
     Jagu
    -0.60
    ãĥĺãĥ©
    -0.60
     Skinner
    -0.60
    Ń·
    -0.60
     Ake
    -0.60
    POSITIVE LOGITS
    warming
    1.27
    broken
    1.14
    burn
    1.13
    beat
    1.11
    strings
    1.06
    worm
    1.03
    rend
    1.01
    break
    0.97
    felt
    0.95
    breaks
    0.94
    Activations Density 0.030%

    No Known Activations