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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. 12-RES-JB
    11. 2387
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    INDEX
    Explanations

    descriptive words related to sports performance and competition

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    phrases related to competition, particularly in sports contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ffe
    -0.83
    aum
    -0.77
    illion
    -0.71
    ={
    -0.70
    )=(
    -0.68
    otide
    -0.68
    FY
    -0.66
    inct
    -0.65
    anuts
    -0.65
     Transactions
    -0.64
    POSITIVE LOGITS
     opposition
    1.18
     opponent
    1.13
     foe
    1.11
     foes
    1.11
     opponents
    1.10
     challengers
    1.07
     odds
    1.03
     backdrop
    1.02
     competition
    1.01
     adversity
    0.99
    Activations Density 0.331%

    No Known Activations