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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. 1960
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    INDEX
    Explanations

    time periods mentioned in years or days

    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
    âĨij
    -0.73
    Tomorrow
    -0.69
    cci
    -0.67
    odder
    -0.67
    behind
    -0.67
    Inside
    -0.66
    Behind
    -0.66
    enf
    -0.66
    osite
    -0.63
     Ahead
    -0.62
    POSITIVE LOGITS
     period
    1.30
     span
    1.24
     millennia
    1.06
    period
    1.01
     timeframe
    0.99
     decades
    0.98
     centuries
    0.93
     lifespan
    0.93
     periods
    0.92
     decade
    0.91
    Activations Density 0.105%

    No Known Activations