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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. 17638
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    Explanations

    references 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 @ 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
     Matter
    -0.79
    drawn
    -0.76
     MAT
    -0.70
    ioxide
    -0.69
     Latest
    -0.68
     Measures
    -0.68
     Powers
    -0.66
    OX
    -0.65
     Subjects
    -0.65
     Patrol
    -0.64
    POSITIVE LOGITS
     Restaur
    1.12
     restaurants
    1.10
     restaurant
    1.08
     eater
    1.07
     waiter
    0.98
    eteria
    0.98
    izza
    0.91
     cafe
    0.91
     Restaurant
    0.90
    isine
    0.90
    Activations Density 0.019%

    No Known Activations