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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. 0-RES-JB
    11. 2071
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    Explanations

    references to American football positions, particularly linebackers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the position "linebacker" in football contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yt
    -0.74
     plots
    -0.74
    places
    -0.68
    cel
    -0.68
    draw
    -0.65
    ep
    -0.65
    ances
    -0.64
    et
    -0.62
    pet
    -0.61
    ancy
    -0.60
    POSITIVE LOGITS
     linebacker
    3.07
     linebackers
    2.30
     cornerback
    2.23
     defenseman
    2.05
     lineback
    1.96
     outfielder
    1.93
     shortstop
    1.81
    backer
    1.70
     fullback
    1.60
     lineman
    1.56
    Activations Density 0.023%

    No Known Activations