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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. 11297
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    Explanations

    numerical values indicating specific measurements or thresholds

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and measurements related to thresholds or limits

    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
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    No Comments

    Negative Logits
     Fallen
    -0.66
     Overse
    -0.60
     Corpus
    -0.60
    liest
    -0.59
    INGTON
    -0.59
     Survey
    -0.59
    Reviewer
    -0.59
    rote
    -0.59
    atcher
    -0.58
     dearly
    -0.58
    POSITIVE LOGITS
    %.
    0.92
     percent
    0.91
     GHz
    0.89
    %;
    0.86
    %
    0.85
    %,
    0.85
    %:
    0.84
     sidx
    0.82
     degrees
    0.79
     MHz
    0.77
    Activations Density 0.211%

    No Known Activations