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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. 7896
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    Explanations

    short interrogative sentences

    oai_token-act-pair · gpt-3.5-turbo

    questions and reflections on past events or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     Flavoring
    -0.69
     conduc
    -0.66
    ebted
    -0.65
    artifacts
    -0.60
     redes
    -0.60
     Contains
    -0.60
    yright
    -0.59
    emale
    -0.58
    ģĸ
    -0.57
    Located
    -0.56
    POSITIVE LOGITS
     he
    1.23
     I
    0.95
     everybody
    0.95
     we
    0.93
     she
    0.93
     somebody
    0.92
     they
    0.92
     you
    0.89
     [
    0.86
     anybody
    0.86
    Activations Density 0.382%

    No Known Activations