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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. 16681
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    oai_token-act-pair · gpt-3.5-turbo

    character occurrences and patterns in a non-standard or encoded text

    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
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    No Comments

    Negative Logits
     Vaugh
    -0.62
     closet
    -0.60
     colle
    -0.58
     pipeline
    -0.58
     conclud
    -0.58
     mechanics
    -0.57
     functionally
    -0.57
     pree
    -0.57
     proble
    -0.56
     bloodstream
    -0.56
    POSITIVE LOGITS
    é¾įå
    0.95
    Ô
    0.93
    É
    0.90
    é»Ĵ
    0.90
    zzy
    0.85
    ãĤ´
    0.84
    ãĥĵ
    0.82
    \":
    0.82
    é¾į
    0.81
    ãģ®å®
    0.80
    Activations Density 0.104%

    No Known Activations