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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. 12370
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    INDEX
    Explanations

    phrases related to sports positions and roster compositions

    oai_token-act-pair · gpt-3.5-turbo

    references to sports competition and player positioning

    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
    realDonaldTrump
    -0.70
     recount
    -0.69
    consumer
    -0.69
     Transcript
    -0.68
    aic
    -0.67
    cible
    -0.66
     peacefully
    -0.65
     GamerGate
    -0.64
     snowball
    -0.64
    fml
    -0.64
    POSITIVE LOGITS
     additions
    1.17
     replacements
    1.09
     departures
    1.06
     signings
    1.05
     trio
    1.00
     reinforcements
    1.00
     depth
    0.96
     rookies
    0.95
    Depth
    0.93
     versatility
    0.92
    Activations Density 0.474%

    No Known Activations