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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. 9-RES-JB
    11. 15861
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    INDEX
    Explanations

    proper nouns such as names of people, places, and organizations

    oai_token-act-pair · gpt-3.5-turbo

    names of organizations, locations, and significant entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exception
    -0.66
     hypothesis
    -0.65
     aspect
    -0.62
    eanor
    -0.61
     deduction
    -0.61
     characteristic
    -0.60
    problem
    -0.60
     variant
    -0.58
    ibliography
    -0.58
     example
    -0.57
    POSITIVE LOGITS
     Studios
    0.90
     Magazine
    0.77
     Productions
    0.75
     Airlines
    0.73
    's
    0.73
     fame
    0.73
     Airways
    0.73
     Stadium
    0.72
     Boulevard
    0.71
     magazine
    0.71
    Activations Density 0.629%

    No Known Activations