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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. 1638
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    INDEX
    Explanations

    phrases related to the effects or impacts of various factors on different aspects

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the effects of human activities on various factors

    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
    nn
    -0.81
    lege
    -0.76
    arta
    -0.74
     largeDownload
    -0.74
    fal
    -0.74
    rist
    -0.73
    riber
    -0.72
    thia
    -0.71
    esse
    -0.70
    eem
    -0.70
    POSITIVE LOGITS
     Hurricane
    0.85
     globalization
    0.81
     untreated
    0.79
     these
    0.76
     differing
    0.76
     changing
    0.75
     modifiers
    0.74
     undue
    0.73
     electing
    0.73
     increasing
    0.71
    Activations Density 0.124%

    No Known Activations