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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 17
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    INDEX
    Explanations

    words related to voting and elections

    oai_token-act-pair · gpt-3.5-turbo

    mentions of voter-related topics and issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    the word 'voter'

    oai_token-act-pair · gpt-4-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ͻ
    -0.76
    Else
    -0.72
     Palestin
    -0.71
    aya
    -0.71
    edom
    -0.68
    ĸļ
    -0.68
    ensed
    -0.68
    ologies
    -0.67
    ais
    -0.67
    ahime
    -0.66
    POSITIVE LOGITS
     voter
    1.08
     turnout
    1.03
     registration
    0.90
     voting
    0.89
     Voter
    0.88
     voters
    0.87
     votes
    0.87
     ballots
    0.84
     vote
    0.79
     disenfranch
    0.78
    Activations Density 0.008%

    No Known Activations