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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. 1-RES-JB
    11. 21481
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    Explanations

    phrases related to physical attributes or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to physical activity or physical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gar
    -0.72
     Bank
    -0.72
     Gos
    -0.71
     Chamber
    -0.70
     Aval
    -0.69
     Way
    -0.69
     Sand
    -0.69
     Chance
    -0.67
     Gates
    -0.67
     Civic
    -0.67
    POSITIVE LOGITS
     assaulted
    0.89
     cumbers
    0.87
     conclud
    0.87
    anguage
    0.86
     assaulting
    0.84
    TPPStreamerBot
    0.81
     cryst
    0.81
    physical
    0.80
     resil
    0.80
     describ
    0.77
    Activations Density 0.007%

    No Known Activations