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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. 11-RES-JB
    11. 9341
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    Explanations

    teams playing against each other or facing certain opponents

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to competition in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otide
    -0.81
    iquette
    -0.79
    Quote
    -0.75
    ffe
    -0.74
    tymology
    -0.72
    uala
    -0.68
     Donation
    -0.67
     Transactions
    -0.67
    bnb
    -0.66
    aum
    -0.66
    POSITIVE LOGITS
     foes
    1.40
     foe
    1.40
     opponent
    1.36
     opponents
    1.33
     challengers
    1.27
     adversaries
    1.24
     adversary
    1.20
     opposition
    1.17
     rivals
    1.15
     enemy
    1.09
    Activations Density 0.318%

    No Known Activations