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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    mentions of restaurants

    oai_token-act-pair · gpt-3.5-turbo

    mentions of restaurants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ioxide
    -0.77
     Matter
    -0.74
     Latest
    -0.71
    drawn
    -0.69
     Measures
    -0.67
     DPR
    -0.66
     Subjects
    -0.65
     MAT
    -0.64
     Ake
    -0.62
     Weld
    -0.62
    POSITIVE LOGITS
     eater
    1.13
     Restaur
    1.11
     restaurants
    1.10
     restaurant
    1.05
    eteria
    0.98
    isine
    0.97
     waiter
    0.96
    izza
    0.95
     Restaurant
    0.92
     establishments
    0.88
    Activations Density 0.018%

    No Known Activations