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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. 10-RES-JB
    6. 2454
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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
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    No Comments

    Negative Logits
     striking
    -0.78
     fulfilling
    -0.77
     pressing
    -0.75
     varied
    -0.74
     shortage
    -0.73
     sandwiches
    -0.70
     alone
    -0.67
     pacing
    -0.67
    .–
    -0.67
     certificates
    -0.67
    POSITIVE LOGITS
    Writ
    1.35
    _
    1.31
    Reports
    1.14
    Official
    1.14
    GOP
    1.13
    Coach
    1.11
    Real
    1.10
    CBC
    1.10
    Twe
    1.08
    Ide
    1.08
    Activations Density 0.094%

    No Known Activations