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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
    11. 3533
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    Explanations

    terms related to municipal matters, such as government, policies, and regulations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to municipal government

    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
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    No Comments

    Negative Logits
    xual
    -0.85
    hered
    -0.76
    oÄŁ
    -0.69
    lyn
    -0.69
    terday
    -0.68
    bring
    -0.67
    kers
    -0.66
    apego
    -0.65
    vier
    -0.64
    ggles
    -0.63
    POSITIVE LOGITS
    unicip
    1.19
     Auditor
    0.84
    apolis
    0.84
     elections
    0.78
    ities
    0.78
     wastewater
    0.77
     parks
    0.76
    ization
    0.75
    naire
    0.75
     councillor
    0.73
    Activations Density 0.056%

    No Known Activations