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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. 14780
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    Explanations

    mentions of specific instances of scoring or achieving a high score

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the word "scored" or related terms indicating scoring 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
     Emer
    -0.68
     Prohibition
    -0.68
     Operation
    -0.63
    compan
    -0.63
    Operation
    -0.63
     Alter
    -0.61
     existence
    -0.61
    changes
    -0.60
    loc
    -0.60
     Veil
    -0.60
    POSITIVE LOGITS
     scored
    3.45
     score
    2.12
     scoring
    2.04
     scores
    1.88
    scoring
    1.79
     tallied
    1.67
     Score
    1.64
    Score
    1.59
    score
    1.57
     Scores
    1.56
    Activations Density 0.015%

    No Known Activations