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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. 7359
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    Explanations

    copyright statements related to photography

    oai_token-act-pair · gpt-3.5-turbo

    references to media organizations and their abbreviations

    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
    itance
    -0.82
    anmar
    -0.76
    aceae
    -0.73
    pora
    -0.73
    reddits
    -0.72
     clauses
    -0.71
    erva
    -0.70
    alties
    -0.69
    rower
    -0.69
    adesh
    -0.69
    POSITIVE LOGITS
     radio
    1.11
     Radio
    1.10
    radio
    1.05
    TV
    1.01
     News
    0.98
    Radio
    0.97
    News
    0.93
    Online
    0.90
    WT
    0.88
     television
    0.87
    Activations Density 0.104%

    No Known Activations