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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. 3-RES-JB
    11. 5185
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    Explanations

    references to American football touchdowns

    oai_token-act-pair · gpt-3.5-turbo

    references to touchdowns in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lly
    -0.78
    remlin
    -0.76
    hin
    -0.74
    arest
    -0.73
    assetsadobe
    -0.71
    emporary
    -0.70
    tan
    -0.68
    azer
    -0.68
    dot
    -0.68
    nih
    -0.67
    POSITIVE LOGITS
     touchdown
    1.08
     touchdowns
    1.02
     rusher
    0.81
     receptions
    0.78
     scored
    0.75
     scorer
    0.73
     RBI
    0.73
     reception
    0.71
     scoring
    0.71
     score
    0.69
    Activations Density 0.011%

    No Known Activations