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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. 6-RES-JB
    11. 15145
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    Explanations

    Hockey-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to hockey

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibility
    -1.06
    ible
    -0.81
    iary
    -0.77
    graded
    -0.77
    terday
    -0.76
    iment
    -0.74
    imental
    -0.73
    iments
    -0.72
    ibilities
    -0.70
    ayed
    -0.69
    POSITIVE LOGITS
     rink
    1.23
     hockey
    1.02
     puck
    1.00
     league
    0.80
     goggles
    0.76
     goalie
    0.75
     club
    0.72
     defenseman
    0.72
     Hockey
    0.71
    ockey
    0.70
    Activations Density 0.015%

    No Known Activations