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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. 3-RES-JB
    11. 7175
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    Explanations

    mentions of political events, specifically related to caucuses and primaries

    oai_token-act-pair · gpt-3.5-turbo

    references to caucus and primary election processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.85
    Magn
    -0.68
    ocaust
    -0.64
     Nept
    -0.64
    Entity
    -0.63
    Chel
    -0.63
     Uz
    -0.63
    sever
    -0.62
     srf
    -0.62
    ãĤ¨ãĥ«
    -0.61
    POSITIVE LOGITS
     caucuses
    1.39
     caucus
    1.15
     Caucus
    1.07
    eers
    1.00
    halla
    0.94
    goers
    0.92
     elector
    0.87
    legates
    0.86
    aries
    0.86
    oting
    0.84
    Activations Density 0.009%

    No Known Activations