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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. 0-RES-JB
    11. 1357
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    Explanations

    mentions of the name "JP" and potentially related entities like "JPMorgan"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the entity "JP" or references related to JPMorgan

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ly
    -0.72
     Gardner
    -0.69
     Sed
    -0.68
    Davis
    -0.68
    Rogue
    -0.67
    Ly
    -0.64
    grim
    -0.64
     Banner
    -0.64
    sed
    -0.63
     Gauntlet
    -0.62
    POSITIVE LOGITS
     JP
    3.55
     JPMorgan
    2.29
    JP
    2.16
     JPM
    1.66
    jp
    1.39
     HSBC
    1.11
    annie
    1.01
     jo
    0.97
     RJ
    0.93
     JO
    0.88
    Activations Density 0.012%

    No Known Activations