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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. 4-RES-JB
    11. 9030
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    Explanations

    terms related to American football offensive line

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "offensive" 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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    20439
    -0.96
    chell
    -0.84
    ilk
    -0.84
    KEN
    -0.79
    bourg
    -0.79
     Solitaire
    -0.76
    Deal
    -0.75
    zl
    -0.74
    ISTER
    -0.73
    essage
    -0.73
    POSITIVE LOGITS
     linemen
    1.16
     lineman
    1.10
     offensive
    0.89
     coordinator
    0.88
     coaches
    0.78
     talent
    0.77
     firepower
    0.75
     offense
    0.74
     coordin
    0.74
    scill
    0.74
    Activations Density 0.015%

    No Known Activations