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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. 23275
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    Explanations

    information related to scoring goals in sports

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics 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
    Larry
    -0.76
    rette
    -0.75
    soDeliveryDate
    -0.70
    aucus
    -0.69
     Katz
    -0.68
     vendor
    -0.67
     vendors
    -0.65
     Nass
    -0.65
    esian
    -0.64
     Vendor
    -0.64
    POSITIVE LOGITS
     Tottenham
    1.07
     Everton
    1.05
    Liverpool
    1.03
     Liverpool
    1.03
     Bundesliga
    1.03
     Riy
    1.02
     Arsenal
    1.01
    ottenham
    1.00
     assists
    0.99
    Arsenal
    0.98
    Activations Density 0.157%

    No Known Activations