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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. 11020
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    INDEX
    Explanations

    phrases or words related to typical, expected, or customary situations or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to common or routine elements

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    mented
    -0.82
    mentation
    -0.81
    kamp
    -0.80
    OPE
    -0.79
    acus
    -0.77
    asus
    -0.71
    enced
    -0.69
    Nation
    -0.69
    manship
    -0.67
    Reviewed
    -0.66
    POSITIVE LOGITS
     suspects
    1.31
     disclaimer
    1.13
     caveats
    1.11
     assortment
    1.05
     disclaim
    1.04
     tropes
    0.84
     caveat
    0.82
     deviations
    0.80
     precautions
    0.79
     deviation
    0.79
    Activations Density 0.059%

    No Known Activations