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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. 13987
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    Explanations

    terms related to achieving a high score or points in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to scoring or points in a competitive context

    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
    ery
    -0.69
    laun
    -0.68
     Canaver
    -0.66
    arel
    -0.66
     Engels
    -0.66
    operated
    -0.66
    rary
    -0.63
     Emer
    -0.63
    mares
    -0.63
    unin
    -0.63
    POSITIVE LOGITS
     score
    4.11
     scores
    2.89
    score
    2.75
     Score
    2.71
    Score
    2.38
     Scores
    2.22
     scoring
    2.09
     scored
    1.98
    scoring
    1.64
     scorer
    1.57
    Activations Density 0.006%

    No Known Activations