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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. 14322
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    Explanations

    technical terms and proper nouns related to various industries and fields, such as rugby, aviation, mobile technology, gaming, architecture, health care, energy, and entertainment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports and health industries

    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
    ||||
    -0.79
     Royals
    -0.65
     unsub
    -0.64
    DAQ
    -0.63
     Gund
    -0.63
     Naval
    -0.60
     uranium
    -0.60
     Bundy
    -0.59
    umper
    -0.59
    --+
    -0.59
    POSITIVE LOGITS
     historian
    0.80
     philos
    0.73
     historians
    0.72
     literacy
    0.70
     sophistication
    0.70
     terminology
    0.69
     jargon
    0.68
     continuity
    0.68
    odynam
    0.66
     fundamentals
    0.65
    Activations Density 0.699%

    No Known Activations