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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. 10-RES-JB
    11. 5393
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    Explanations

    questions or uncertainties

    oai_token-act-pair · gpt-3.5-turbo

    recurring questions or uncertainties expressed in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Ń·
    -0.73
    emp
    -0.68
    ulic
    -0.67
    olkien
    -0.67
    DEF
    -0.67
    Ĭ±
    -0.66
    enegger
    -0.66
    ourn
    -0.66
    using
    -0.65
    scan
    -0.65
    POSITIVE LOGITS
     happens
    1.43
     kinds
    1.32
     kind
    1.31
     constitutes
    1.31
     sort
    1.20
     happened
    1.19
     else
    1.12
     percentage
    1.12
     type
    1.08
     sorts
    1.04
    Activations Density 0.095%

    No Known Activations