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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. 12571
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    Explanations

    mentions of the term "Pro" repeatedly, primarily in reference to "Pro Bowl."

    oai_token-act-pair · gpt-3.5-turbo

    references to "Pro Bowl" and its related context in sports

    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
    yip
    -0.79
    ayne
    -0.76
    veyard
    -0.76
    azel
    -0.75
    ahime
    -0.75
    taboola
    -0.75
    scl
    -0.75
    ãĤ¼
    -0.73
    Ô
    -0.70
     withd
    -0.69
    POSITIVE LOGITS
     Pro
    3.54
    Pro
    2.34
     PRO
    1.98
    pro
    1.90
     pro
    1.82
     Pros
    1.75
     Professional
    1.40
     Prot
    1.39
     Probe
    1.30
    PRO
    1.28
    Activations Density 0.020%

    No Known Activations