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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. 3-RES-JB
    11. 16658
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    INDEX
    Explanations

    references to text layout and formatting

    oai_token-act-pair · gpt-3.5-turbo

    specific references to layout structures in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hood
    -0.96
    icer
    -0.95
    jamin
    -0.84
    inas
    -0.81
     Ago
    -0.79
    lehem
    -0.74
    agher
    -0.73
     Lauder
    -0.71
    oil
    -0.71
    thood
    -0.71
    POSITIVE LOGITS
     layouts
    1.33
     layout
    1.24
     Layout
    1.06
     mismatch
    0.93
     spacing
    0.86
    layout
    0.80
     diagrams
    0.79
     xml
    0.77
     fonts
    0.76
     diagram
    0.75
    Activations Density 0.011%

    No Known Activations