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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. 9008
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    INDEX
    Explanations

    references to official committees or panels

    oai_token-act-pair · gpt-3.5-turbo

    mentions of committees and organizations

    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
     scoop
    -0.74
     buckets
    -0.67
    SourceFile
    -0.67
     rhy
    -0.66
    DragonMagazine
    -0.65
    WER
    -0.65
     flourish
    -0.64
    gallery
    -0.64
     hone
    -0.63
     hint
    -0.63
    POSITIVE LOGITS
     Aging
    1.09
     Settlement
    0.85
     Standards
    0.79
     Oversight
    0.77
     Acc
    0.76
     Appeals
    0.76
     Accountability
    0.76
     Exercise
    0.76
     Audit
    0.76
     Implementation
    0.75
    Activations Density 0.035%

    No Known Activations