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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. 10-RES-JB
    11. 6457
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    Explanations

    references to fantasy football-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to fantasy themes and elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ysis
    -0.79
    maid
    -0.75
    etts
    -0.71
    amen
    -0.70
    xual
    -0.67
    artney
    -0.67
    frames
    -0.66
    lain
    -0.65
     Debor
    -0.65
    aband
    -0.65
    POSITIVE LOGITS
     football
    0.87
    Pros
    0.84
     Football
    0.81
    football
    0.79
     worlds
    0.77
     universes
    0.71
     XV
    0.71
     Flight
    0.69
     baseball
    0.69
    land
    0.68
    Activations Density 0.031%

    No Known Activations