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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. 7-RES-JB
    11. 11549
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    Explanations

    references to sports team rosters

    oai_token-act-pair · gpt-3.5-turbo

    references to team rosters in sports contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    cart
    -0.90
     Greenwich
    -0.73
     Ang
    -0.68
     Belt
    -0.68
     Gaul
    -0.68
     gum
    -0.66
    rir
    -0.65
    tale
    -0.64
     drip
    -0.64
     Gim
    -0.64
    POSITIVE LOGITS
     rosters
    1.01
     roster
    0.93
     backups
    0.83
     turnover
    0.80
    icter
    0.79
     swaps
    0.79
    ubs
    0.75
     drafted
    0.72
    isSpecialOrderable
    0.71
    Players
    0.70
    Activations Density 0.019%

    No Known Activations