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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. 2471
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    Explanations

    keywords related to restaurants

    oai_token-act-pair · gpt-3.5-turbo

    references to restaurants

    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
     Matter
    -0.79
     MAT
    -0.75
    drawn
    -0.71
     Powers
    -0.70
     Latest
    -0.68
     Measures
    -0.68
     DPR
    -0.68
    ioxide
    -0.65
     SPD
    -0.64
     Ake
    -0.64
    POSITIVE LOGITS
     restaurant
    1.30
     Restaur
    1.30
     restaurants
    1.29
     eater
    1.20
     waiter
    1.13
     Restaurant
    1.11
    isine
    1.11
     restaur
    1.06
     chef
    1.04
     cafes
    1.01
    Activations Density 0.015%

    No Known Activations