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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. 0-RES-JB
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    Explanations

    words related to hospital wards

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "ward" and its variations in the context of medical or institutional settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NASCAR
    -0.73
    rosso
    -0.69
     Fusion
    -0.69
    acci
    -0.65
     Product
    -0.65
     Silicon
    -0.65
     Horowitz
    -0.64
     Pipeline
    -0.64
     FANT
    -0.64
    Intel
    -0.63
    POSITIVE LOGITS
     ward
    4.22
     wards
    3.40
     Ward
    2.15
    Ward
    2.13
     Warden
    1.30
     parish
    1.02
     councillor
    0.99
     precinct
    0.98
     councillors
    0.94
     corridor
    0.90
    Activations Density 0.015%

    No Known Activations