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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
    11. 21940
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    Explanations

    phrases related to election polling stations or activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of polling or voting locations

    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
    xual
    -0.75
    Interstitial
    -0.74
    EngineDebug
    -0.72
    uria
    -0.71
     Alm
    -0.70
    ĪĴ
    -0.70
     Flavoring
    -0.68
    íķ
    -0.67
    displayText
    -0.66
    ---------------
    -0.65
    POSITIVE LOGITS
     polling
    1.45
     polls
    1.18
     poll
    1.00
     elector
    0.94
    oting
    0.88
     booths
    0.88
     electors
    0.86
     canv
    0.84
     pse
    0.84
     polled
    0.82
    Activations Density 0.003%

    No Known Activations