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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. 5-RES-JB
    6. 24088
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    Explanations

    proper nouns related to sports, particularly soccer

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to sports teams and players

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Navajo
    -0.95
     nonprofits
    -0.94
     Planned
    -0.91
     PBS
    -0.91
     ACLU
    -0.89
     Congressional
    -0.88
     Cherokee
    -0.88
     Neighbor
    -0.87
     Yelp
    -0.86
    Hispanic
    -0.86
    POSITIVE LOGITS
    iverpool
    1.14
    avour
    1.14
     defences
    1.12
     favourable
    1.10
     Liverpool
    1.09
     realise
    1.09
     footballer
    1.06
     defence
    1.04
     favourites
    1.02
     organisation
    1.01
    Activations Density 0.262%

    No Known Activations