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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. 8-RES-JB
    11. 1845
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    Explanations

    words related to the physical arrangement or layout of objects or spaces

    oai_token-act-pair · gpt-3.5-turbo

    terms related to layouts and arrangements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    icer
    -0.76
    consumer
    -0.71
    ignant
    -0.70
    issions
    -0.67
    arag
    -0.66
    jury
    -0.66
    cot
    -0.65
    enegger
    -0.64
    iday
    -0.64
    iatus
    -0.63
    POSITIVE LOGITS
     diagram
    0.94
    eering
    0.93
     scheme
    0.91
     diagrams
    0.87
     layout
    0.86
     layouts
    0.86
     mismatch
    0.81
    alist
    0.81
     patterns
    0.79
     arrangement
    0.78
    Activations Density 0.208%

    No Known Activations