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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. 7-RES-JB
    11. 21194
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    Explanations

    terms related to American football offenses

    oai_token-act-pair · gpt-3.5-turbo

    references to offensive performance in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bourg
    -0.89
    EVA
    -0.78
     Jenner
    -0.75
    azo
    -0.71
    ioxide
    -0.65
    KEN
    -0.64
     claimants
    -0.63
    grave
    -0.63
     Payments
    -0.63
     Barcl
    -0.62
    POSITIVE LOGITS
     Offense
    0.86
     offense
    0.82
     oriented
    0.80
    ENSE
    0.73
     Rodgers
    0.72
    ception
    0.72
     linemen
    0.71
    nel
    0.71
     lineman
    0.69
    scill
    0.69
    Activations Density 0.022%

    No Known Activations