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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. 10-RES-JB
    11. 18506
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    Explanations

    phrases related to sports, particularly focusing on defensive aspects

    oai_token-act-pair · gpt-3.5-turbo

    terms related to defense in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Parenthood
    -0.85
     Columb
    -0.72
    izoph
    -0.71
     Meal
    -0.69
    itarian
    -0.65
     Tanz
    -0.64
     Feminist
    -0.64
     Canaver
    -0.63
     Trigger
    -0.61
     Debt
    -0.61
    POSITIVE LOGITS
    men
    1.15
     corps
    1.02
    man
    0.96
    roit
    0.85
    defense
    0.78
    tackle
    0.78
    adjusted
    0.78
    breaking
    0.77
    mage
    0.77
    pair
    0.75
    Activations Density 0.041%

    No Known Activations