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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 23387
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    INDEX
    Explanations

    instances where something has reached a particular level or point

    oai_token-act-pair · gpt-3.5-turbo

    references to levels of achievement or milestones

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    serv
    -0.77
    ItemImage
    -0.76
     faithfully
    -0.75
     followed
    -0.74
     alone
    -0.72
    CT
    -0.68
     accompanied
    -0.66
    ItemThumbnailImage
    -0.65
    .]
    -0.65
     accordingly
    -0.64
    POSITIVE LOGITS
     brink
    1.34
     pinnacle
    1.30
     point
    1.23
     conclusion
    1.17
     tipping
    1.14
     verge
    1.14
     limit
    1.12
     end
    1.11
     threshold
    1.11
     halfway
    1.08
    Activations Density 0.140%

    No Known Activations