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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. 3326
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    Explanations

    numerical values related to statistics in various categories like sports

    oai_token-act-pair · gpt-3.5-turbo

    statistics and numerical data related to sports performance

    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
    sonian
    -0.78
    ITAL
    -0.73
    riot
    -0.70
    helm
    -0.67
    actionDate
    -0.66
    rade
    -0.62
     maternity
    -0.61
    sym
    -0.60
     srfAttach
    -0.60
     Letters
    -0.59
    POSITIVE LOGITS
     scored
    1.23
     conceded
    1.10
     surrendered
    1.09
     per
    1.06
     tallied
    1.02
     played
    1.02
     allowed
    1.02
     gained
    1.00
     logged
    0.95
     counted
    0.94
    Activations Density 0.131%

    No Known Activations