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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. 8-RES-JB
    11. 12962
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    Explanations

    numbers and quantities

    oai_token-act-pair · gpt-3.5-turbo

    quantitative information and numerical values

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Shutterstock
    -0.69
     Kessler
    -0.60
    Theme
    -0.60
     Darling
    -0.59
     Elections
    -0.59
     Ulster
    -0.57
     Attribution
    -0.54
     Fiscal
    -0.54
    tip
    -0.54
    acist
    -0.54
    POSITIVE LOGITS
     apiece
    1.05
    +.
    1.05
    %.
    0.87
     ones
    0.80
     depending
    0.80
    +,
    0.80
    ths
    0.78
     altogether
    0.77
     ;)
    0.76
    !.
    0.76
    Activations Density 0.309%

    No Known Activations