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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. 10-RES-JB
    11. 1435
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    INDEX
    Explanations

    comparisons in performance and outcomes

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to performance evaluation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hai
    -0.76
    agine
    -0.74
    opus
    -0.68
    £ı
    -0.67
     limitless
    -0.66
     unlimited
    -0.64
    ceivable
    -0.63
    REDACTED
    -0.62
     certainty
    -0.61
    DragonMagazine
    -0.61
    POSITIVE LOGITS
     financially
    1.11
     miser
    1.08
    luster
    1.07
     academ
    1.06
     compared
    1.05
     economically
    1.03
     defensively
    1.00
     overall
    0.96
     ratings
    0.95
     fared
    0.95
    Activations Density 0.198%

    No Known Activations