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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. 1-RES-JB
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    Explanations

    mentions of specific geographic entities (e.g., towns, cities, regions) that could be describing municipalities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of municipalities and related governance terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lanka
    -0.79
    ippery
    -0.75
    etheus
    -0.74
    adders
    -0.73
    aults
    -0.73
    kus
    -0.73
    Flight
    -0.72
    vol
    -0.70
    vier
    -0.69
    vae
    -0.69
    POSITIVE LOGITS
     municipality
    1.04
    unicip
    0.99
     Municip
    0.98
     unemploy
    0.98
     municipalities
    0.95
    enance
    0.79
     councillor
    0.78
    chool
    0.77
     mayors
    0.77
     landfill
    0.76
    Activations Density 0.010%

    No Known Activations