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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 3897
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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
    .–
    -0.75
    ""
    -0.67
    .","
    -0.63
    caster
    -0.62
    .[
    -0.62
    bush
    -0.61
    """
    -0.61
    acid
    -0.59
    uctor
    -0.57
    Cover
    -0.56
    POSITIVE LOGITS
     meanwhile
    1.29
     furthermore
    1.17
     also
    1.17
     moreover
    1.15
     therefore
    1.11
     certainly
    1.10
     however
    1.09
     understandably
    1.04
     doubtless
    1.02
     indeed
    0.99
    Activations Density 0.592%

    No Known Activations