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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. 6658
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    INDEX
    Explanations

    dates mentioned in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    periods or end-of-sentence punctuation

    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
     veter
    -0.76
    etry
    -0.76
     manif
    -0.71
     marqu
    -0.71
     wellbeing
    -0.69
     appropri
    -0.68
     attent
    -0.68
     chopping
    -0.66
     professions
    -0.66
    iqueness
    -0.65
    POSITIVE LOGITS
     REUTERS
    1.48
     Photographer
    1.14
     Mandatory
    1.13
     Picture
    1.12
     Hundreds
    1.06
     Courtesy
    1.05
     Photograph
    1.03
     Approximately
    1.02
     Dozens
    0.98
     Thomson
    0.98
    Activations Density 0.053%

    No Known Activations