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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. 5684
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    Explanations

    phrases related to specific activities or tasks

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to organization and structure in various contexts

    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
     Colomb
    -0.55
     Federation
    -0.54
     Composite
    -0.51
     Kore
    -0.51
    enegger
    -0.50
    oslov
    -0.48
     Sr
    -0.46
     Croat
    -0.46
     Parent
    -0.46
     Whitman
    -0.46
    POSITIVE LOGITS
    marks
    0.69
    ings
    0.68
    rums
    0.66
    lings
    0.64
    iness
    0.62
    book
    0.61
    pad
    0.61
    boards
    0.61
    holes
    0.60
    box
    0.59
    Activations Density 0.691%

    No Known Activations