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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. 11-RES-JB
    11. 2141
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    Explanations

    large numbers representing quantities

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

    No Comments

    Negative Logits
     viz
    -0.67
    laws
    -0.57
    money
    -0.54
    aceae
    -0.54
    surv
    -0.54
     Honour
    -0.53
     Quantity
    -0.51
    _>
    -0.51
    dict
    -0.50
    govtrack
    -0.49
    POSITIVE LOGITS
     million
    1.21
     000
    1.12
     thousand
    1.04
    million
    0.98
     percent
    0.95
    %
    0.95
     MILL
    0.86
    MW
    0.84
     Million
    0.83
     billion
    0.81
    Activations Density 0.157%

    No Known Activations