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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. 5889
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    Explanations

    words related to physical exertion or difficulty

    oai_token-act-pair · gpt-3.5-turbo

    references to challenges or difficulties, particularly related to "hard work."

    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
     Cah
    -0.71
     Wonderland
    -0.69
     revel
    -0.67
     Rica
    -0.65
     Urs
    -0.64
     Wald
    -0.62
     Kenny
    -0.62
     Laurent
    -0.61
     McKenna
    -0.61
     Russell
    -0.61
    POSITIVE LOGITS
    hitting
    1.39
    earned
    1.28
    edged
    1.19
    bodied
    1.17
    coded
    1.16
    pressed
    1.14
    working
    1.13
    charging
    1.09
    won
    1.08
    hearted
    1.07
    Activations Density 0.024%

    No Known Activations