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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. 11-RES-JB
    6. 10244
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    Explanations

    mentions of names or proper nouns, possibly in the context of news articles

    oai_token-act-pair · gpt-3.5-turbo

    elements indicating citation or reference to articles and their sources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ILCS
    -0.83
     ¥
    -0.66
     Slayer
    -0.62
     MLA
    -0.61
     Provincial
    -0.61
     licence
    -0.61
     CFL
    -0.59
    £
    -0.59
    tein
    -0.59
    Ont
    -0.58
    POSITIVE LOGITS
     POLITICO
    1.30
    Trump
    1.07
     Politico
    1.07
    Democrats
    1.01
    Hillary
    1.01
    Senate
    0.98
     Priebus
    0.98
    Republicans
    0.98
     Trump
    0.96
    Clinton
    0.96
    Activations Density 0.258%

    No Known Activations