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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. 6124
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    Explanations

    individuals speaking with others

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "spoke" and its variations

    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
    eers
    -0.86
     Converted
    -0.62
    isal
    -0.61
    neath
    -0.60
    ardless
    -0.59
    ede
    -0.58
     helm
    -0.58
    eer
    -0.57
     Shutterstock
    -0.55
    ilts
    -0.55
    POSITIVE LOGITS
     extensively
    0.84
     withd
    0.82
     with
    0.72
     privately
    0.71
    ydia
    0.70
     anonymously
    0.69
     briefly
    0.68
     glow
    0.67
     anecd
    0.66
     frankly
    0.66
    Activations Density 0.056%

    No Known Activations