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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. 10-RES-JB
    11. 6365
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    INDEX
    Explanations

    numerical scores and results related to sports matches

    oai_token-act-pair · gpt-3.5-turbo

    references to victories or triumphs in various competitions or sports events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    forums
    -0.74
    quickShipAvailable
    -0.73
    soType
    -0.73
    clinton
    -0.72
    nature
    -0.71
    speak
    -0.70
    agents
    -0.70
    Effect
    -0.68
    kinson
    -0.68
    conom
    -0.67
    POSITIVE LOGITS
     victory
    1.68
     win
    1.45
     victories
    1.35
     wins
    1.26
     triumph
    1.16
     defeat
    1.13
     winning
    1.12
     trophy
    1.11
     winner
    1.07
     knockout
    1.04
    Activations Density 0.182%

    No Known Activations