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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. 1-RES-JB
    11. 8066
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    Explanations

    terms related to American football positions - particularly offensive and defensive linemen

    oai_token-act-pair · gpt-3.5-turbo

    references to football players, specifically linemen, in the context of their roles in the game

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibel
    -0.79
    bing
    -0.75
    Nav
    -0.71
    spr
    -0.71
    night
    -0.69
    rin
    -0.67
    Hyper
    -0.67
    Water
    -0.67
    Sus
    -0.66
    Oak
    -0.64
    POSITIVE LOGITS
     lineman
    1.40
     linemen
    1.31
     Titans
    0.90
    backer
    0.86
    iants
    0.82
     sacks
    0.72
     Redskins
    0.69
     rusher
    0.68
     trenches
    0.67
     tackle
    0.67
    Activations Density 0.015%

    No Known Activations