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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. 3-RES-JB
    11. 5160
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    Explanations

    mentions of medical terms or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to medical topics and terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TRUMP
    -0.71
    DOM
    -0.70
    Ô
    -0.66
     innocence
    -0.65
     indign
    -0.63
    Leary
    -0.63
    hyde
    -0.62
     Yankee
    -0.62
     Orwell
    -0.61
     Elements
    -0.61
    POSITIVE LOGITS
    iterranean
    1.12
    allion
    1.12
    itating
    1.11
    itations
    1.08
    itated
    1.02
    icum
    1.01
    ications
    0.97
    undai
    0.96
    ics
    0.95
    ulla
    0.95
    Activations Density 0.005%

    No Known Activations