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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. 9-RES-JB
    11. 17469
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    Explanations

    terms related to sports defense, such as mentions of defense performance, defense strategies, or defensive players

    oai_token-act-pair · gpt-3.5-turbo

    references to defensive and offensive concepts in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izoph
    -0.82
     Parenthood
    -0.77
     Meal
    -0.75
     Columb
    -0.70
    lihood
    -0.66
     Canaver
    -0.65
    zos
    -0.62
    itarian
    -0.61
     Generations
    -0.61
     Tanz
    -0.60
    POSITIVE LOGITS
    men
    0.97
     corps
    0.90
    man
    0.86
    roit
    0.84
    tackle
    0.83
    bane
    0.80
     infield
    0.77
    team
    0.75
    adjusted
    0.73
    ngth
    0.73
    Activations Density 0.043%

    No Known Activations