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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. 1-RES-JB
    11. 699
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    Explanations

    phrases describing electronic displays

    oai_token-act-pair · gpt-3.5-turbo

    references to display technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    owsky
    -0.81
    ential
    -0.74
    apeake
    -0.73
    udos
    -0.73
    laus
    -0.70
     annexed
    -0.70
    economic
    -0.69
    ETA
    -0.69
    allo
    -0.69
    trak
    -0.69
    POSITIVE LOGITS
     displays
    1.22
     display
    1.18
    Display
    0.95
     Display
    0.94
     exhibits
    0.89
    display
    0.87
    igators
    0.81
     displaying
    0.80
    erers
    0.79
     decorations
    0.79
    Activations Density 0.008%

    No Known Activations