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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. 9-RES-JB
    11. 13198
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    Explanations

    phrases related to specific characters, items, or actions in a narrative context

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific character or entity denoted by "Ļ"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Showdown
    -0.80
     Nau
    -0.76
     Lancaster
    -0.74
     Windsor
    -0.72
     Seym
    -0.68
     Roose
    -0.68
     Gaul
    -0.66
     sectarian
    -0.65
     Black
    -0.65
     fascination
    -0.64
    POSITIVE LOGITS
    ï¸ı
    1.10
    agree
    0.99
    sure
    0.95
    ought
    0.95
    should
    0.94
    lean
    0.93
    accept
    0.91
    literally
    0.91
    ould
    0.90
    could
    0.89
    Activations Density 0.262%

    No Known Activations