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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. 4-RES-JB
    11. 13140
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    Explanations

    words related to duels or competitions

    oai_token-act-pair · gpt-3.5-turbo

    specific terms and references related to competitive games or tournaments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hered
    -0.96
    growth
    -0.68
    WAR
    -0.65
    skirts
    -0.65
    Downloadha
    -0.64
    PROV
    -0.64
    romy
    -0.63
    rates
    -0.62
    printf
    -0.62
    ritic
    -0.61
    POSITIVE LOGITS
    oaded
    1.00
    oad
    0.97
    uel
    0.96
    ounge
    0.91
    lette
    0.90
    inations
    0.85
    ength
    0.85
    ing
    0.83
    ocity
    0.83
    aunch
    0.83
    Activations Density 0.004%

    No Known Activations