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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. 10-RES-JB
    11. 8431
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ratulations
    -0.83
     consecut
    -0.79
    ties
    -0.79
    hop
    -0.75
    hops
    -0.72
     succeeded
    -0.70
    ilee
    -0.69
    aca
    -0.68
    ––
    -0.68
    lyak
    -0.67
    POSITIVE LOGITS
     Emblem
    1.01
     Dwarf
    1.01
     Rational
    1.01
     Wow
    0.96
     Bul
    0.95
     Wiki
    0.92
     Hearthstone
    0.89
     Wikipedia
    0.88
     Terr
    0.85
     Uni
    0.85
    Activations Density 0.013%

    No Known Activations