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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. 4-RES-JB
    11. 15418
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    Explanations

    phrases related to outlining or detailing a plan or argument

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to presenting or outlining information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    BILITIES
    -0.71
    antry
    -0.69
    avorite
    -0.68
     Nickel
    -0.68
    cius
    -0.65
     nickname
    -0.64
    iston
    -0.63
    IRO
    -0.62
     Gamble
    -0.62
     bidder
    -0.61
    POSITIVE LOGITS
     outlines
    0.90
    stretched
    0.81
    posts
    0.80
    fitted
    0.78
    casts
    0.72
     outlining
    0.70
    WER
    0.70
    ¯¯¯¯¯¯¯¯
    0.69
     detailing
    0.68
     %%
    0.68
    Activations Density 0.020%

    No Known Activations