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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. 3-RES-JB
    11. 7083
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    INDEX
    Explanations

    mentions or references to hockey leagues or teams

    oai_token-act-pair · gpt-3.5-turbo

    mentions of hockey in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terday
    -0.93
    ibility
    -0.93
    ible
    -0.82
    ardless
    -0.80
    ages
    -0.74
    igm
    -0.71
    ipes
    -0.70
    heres
    -0.69
    RGB
    -0.69
    ources
    -0.68
    POSITIVE LOGITS
     Hockey
    1.06
     Club
    0.95
     rink
    0.90
     League
    0.86
     Football
    0.82
     Association
    0.80
     puck
    0.79
     hockey
    0.78
     Fighters
    0.77
     Playoff
    0.77
    Activations Density 0.011%

    No Known Activations