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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. 10-RES-JB
    11. 6238
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    Explanations

    percentages in the context of election results

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to election results and voting percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assetsadobe
    -0.89
    ulhu
    -0.72
    £ı
    -0.72
    ©¶æ
    -0.70
    artifacts
    -0.69
    bard
    -0.69
    odcast
    -0.67
    eday
    -0.66
    ctica
    -0.65
    azard
    -0.64
    POSITIVE LOGITS
     votes
    1.78
     ballots
    1.40
     vote
    1.37
     Votes
    1.36
    votes
    1.27
     seats
    1.19
     delegates
    1.14
     voting
    1.14
     voters
    1.14
     Voters
    1.02
    Activations Density 0.145%

    No Known Activations