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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. 10-RES-JB
    6. 10962
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    Explanations

    references to central banks

    oai_token-act-pair · gpt-3.5-turbo

    references to central banks

    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
    %%
    -0.72
    lihood
    -0.70
    ËĪ
    -0.68
    ggies
    -0.67
    OUT
    -0.67
    endez
    -0.65
     Khe
    -0.64
     Machina
    -0.64
    ynt
    -0.63
    orious
    -0.62
    POSITIVE LOGITS
     bank
    1.11
     banks
    1.07
    ization
    1.04
     bankers
    1.04
    ised
    1.03
     planners
    1.03
    isation
    1.00
     governments
    1.00
     banker
    0.99
     government
    0.98
    Activations Density 0.018%

    No Known Activations