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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. 16559
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    Explanations

    phrases related to ice hockey, specifically actions involving the puck

    oai_token-act-pair · gpt-3.5-turbo

    references to hockey plays and related terminology

    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
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    Negative Logits
    iannopoulos
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    itsu
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    ¿½
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     GOODMAN
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     Ballistic
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    POSITIVE LOGITS
     rink
    1.02
    ipeg
    1.00
     defenseman
    0.91
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    0.86
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    0.85
     linem
    0.84
     puck
    0.84
     hockey
    0.82
     goaltender
    0.82
     goalie
    0.80
    Activations Density 0.117%

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