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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. 2-RES-JB
    11. 7407
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    Explanations

    phrases related to document layout or structure

    oai_token-act-pair · gpt-3.5-turbo

    terms related to layout design

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    hood
    -1.02
    icer
    -0.90
     Ago
    -0.88
    jamin
    -0.81
    roots
    -0.76
    thood
    -0.75
    kos
    -0.72
    inas
    -0.72
    unes
    -0.70
    inel
    -0.70
    POSITIVE LOGITS
     layouts
    1.47
     layout
    1.40
     Layout
    1.22
    Layout
    0.92
     diagrams
    0.92
     mismatch
    0.90
    layout
    0.88
     diagram
    0.88
     spacing
    0.87
    eering
    0.86
    Activations Density 0.006%

    No Known Activations