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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. 8883
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    Explanations

    specific locations or settings within a sentence

    oai_token-act-pair · gpt-3.5-turbo

    references to incidents involving harm or violence

    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
    Jews
    -0.85
     antibodies
    -0.79
     abund
    -0.75
    ships
    -0.74
     telescopes
    -0.74
    tarians
    -0.73
    States
    -0.72
     receptors
    -0.72
    pointers
    -0.72
    Muslims
    -0.71
    POSITIVE LOGITS
     newly
    0.82
     Colorado
    0.75
     Indiana
    0.73
     Tampa
    0.71
     Indianapolis
    0.71
     Outdoor
    0.69
     outdoor
    0.69
     Clay
    0.69
     Cleveland
    0.69
     homemade
    0.68
    Activations Density 1.204%

    No Known Activations