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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. 18149
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    Explanations

    phrases indicating a strong degree or emphasis on something

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases emphasizing the word "much."

    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
    ERY
    -0.77
    neapolis
    -0.76
    ibrary
    -0.75
    iversary
    -0.69
    iful
    -0.68
    agically
    -0.67
    ifax
    -0.67
    eways
    -0.67
    videos
    -0.67
    alid
    -0.67
    POSITIVE LOGITS
     appreciated
    1.25
     alive
    0.98
     resemble
    0.87
     alike
    0.83
     regarded
    0.83
     intact
    0.82
     obliged
    0.82
     resembled
    0.80
     resembles
    0.79
     welcome
    0.79
    Activations Density 0.032%

    No Known Activations