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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. 12-RES-JB
    11. 2461
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    Explanations

    references to sports teams and players

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    references to sports teams and their relationships with players

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     dur
    -0.69
     Springs
    -0.66
     Tolkien
    -0.64
     Gul
    -0.64
     lett
    -0.63
     Quantity
    -0.63
     Ord
    -0.62
     cel
    -0.61
     slopes
    -0.61
     Skinner
    -0.61
    POSITIVE LOGITS
    mates
    1.66
    mate
    1.55
    sheet
    1.14
    leading
    1.11
    winner
    1.10
    united
    1.05
    record
    1.01
    building
    1.01
    saving
    1.00
    up
    0.99
    Activations Density 0.047%

    No Known Activations