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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 6107
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    INDEX
    Explanations

    information related to sports matches and players

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sports events and player performances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Neighbor
    -0.79
    GOP
    -0.76
    FBI
    -0.73
     MFT
    -0.71
     Appalach
    -0.71
     FOIA
    -0.71
    Federal
    -0.69
    behavior
    -0.69
     nonprofits
    -0.68
    eteria
    -0.68
    POSITIVE LOGITS
     goalkeeper
    1.28
     striker
    1.27
     footballer
    1.18
     relegation
    1.18
     midfielder
    1.17
     winger
    1.16
     Juventus
    1.16
     Tottenham
    1.16
     Sunderland
    1.14
     midfield
    1.13
    Activations Density 1.428%

    No Known Activations