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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. 7-RES-JB
    11. 22630
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    INDEX
    Explanations

    adjectives related to complexity and intensity

    oai_token-act-pair · gpt-3.5-turbo

    descriptive adjectives and complex structures in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Jury
    -0.73
    aukee
    -0.72
    uyomi
    -0.69
     ende
    -0.68
    Ö¼
    -0.68
     Thief
    -0.68
    imaru
    -0.67
    jee
    -0.67
    ouf
    -0.66
    ebus
    -0.66
    POSITIVE LOGITS
    votes
    0.80
     accommodation
    0.69
     goodies
    0.66
     tubing
    0.65
     activity
    0.65
     icons
    0.64
     personalities
    0.63
    isations
    0.63
     acron
    0.62
     fixtures
    0.60
    Activations Density 0.577%

    No Known Activations