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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. 2441
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    INDEX
    Explanations

    mentions of upcoming sports events and matchups

    oai_token-act-pair · gpt-3.5-turbo

    instances of future events or scheduled activities

    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
    soType
    -0.89
     compan
    -0.85
     Journals
    -0.73
    Compan
    -0.73
     Anon
    -0.69
    âĹ¼
    -0.68
    BuyableInstoreAndOnline
    -0.67
    compan
    -0.67
    quickShipAvailable
    -0.67
     advising
    -0.64
    POSITIVE LOGITS
     rematch
    1.22
     scrimmage
    1.22
     host
    1.17
     compete
    1.15
     clinch
    1.11
     celebrate
    1.07
     participate
    1.05
     scrim
    1.03
     forfeit
    1.01
     face
    0.97
    Activations Density 0.216%

    No Known Activations