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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. 0-RES-JB
    11. 16831
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    Explanations

    references to "Smart" technology, such as smartphones, smartwatches, and Smart TVs

    oai_token-act-pair · gpt-3.5-turbo

    references to "Smart" technology or devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fur
    -0.76
    fal
    -0.76
    uates
    -0.75
     gluc
    -0.75
     repr
    -0.74
     ven
    -0.73
     fet
    -0.73
     descend
    -0.73
     descended
    -0.72
     rend
    -0.72
    POSITIVE LOGITS
     Smart
    3.61
    Smart
    2.99
    smart
    2.32
     smart
    1.96
     Intelligent
    1.43
     smarter
    1.40
     Wise
    1.19
     smartest
    1.12
     Clever
    1.09
     Apps
    1.08
    Activations Density 0.012%

    No Known Activations