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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. 2-RES-JB
    11. 8037
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    Explanations

    references to American football positions, specifically linebackers

    oai_token-act-pair · gpt-3.5-turbo

    references to linebackers and notable figures related to football or sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    flies
    -0.76
    ãĥĩ
    -0.72
    Downloadha
    -0.70
    ãĥĹ
    -0.69
    tics
    -0.68
    ãĥĩãĤ£
    -0.67
    rawdownloadcloneembedreportprint
    -0.66
    raints
    -0.66
     constitu
    -0.66
    ichen
    -0.65
    POSITIVE LOGITS
     LB
    0.85
    LB
    0.82
    lear
    0.80
     cloves
    0.79
    oyd
    0.78
    GT
    0.76
    lean
    0.75
    holder
    0.74
    urst
    0.74
    GB
    0.73
    Activations Density 0.013%

    No Known Activations