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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. 6-RES-JB
    11. 18698
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    Explanations

    sport-related and action-oriented words or phrases, specifically related to specific moments in a game or event

    oai_token-act-pair · gpt-3.5-turbo

    references to measurements of time, distance, and levels in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    aucas
    -0.65
     diverse
    -0.62
    inguished
    -0.59
    hetic
    -0.59
     symp
    -0.59
    ounding
    -0.58
    icer
    -0.58
     dilig
    -0.57
    ush
    -0.57
     behav
    -0.56
    POSITIVE LOGITS
    livion
    0.87
     onwards
    0.66
    ridor
    0.64
    arenthood
    0.63
    bos
    0.63
    waves
    0.62
    obiles
    0.61
     Dragonbound
    0.61
    uania
    0.58
     insanity
    0.58
    Activations Density 0.322%

    No Known Activations