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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
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    Explanations

    mentions of government departments, specifically the Department of [something]

    oai_token-act-pair · gpt-3.5-turbo

    mentions of governmental departments

    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
    faced
    -0.71
    vier
    -0.68
    verts
    -0.66
     worsh
    -0.60
    clusive
    -0.58
     vig
    -0.57
    creen
    -0.57
    isks
    -0.56
    terday
    -0.56
    module
    -0.56
    POSITIVE LOGITS
     Stores
    0.97
    artments
    0.88
     of
    0.86
     Store
    0.85
    artment
    0.85
    alities
    0.80
     Of
    0.80
    al
    0.78
     Employees
    0.77
    General
    0.77
    Activations Density 0.031%

    No Known Activations