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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. 20250
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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 @ 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
    mat
    -0.70
     MAT
    -0.64
    aler
    -0.63
    MK
    -0.63
    bolt
    -0.62
    +++
    -0.62
    leeve
    -0.62
    morph
    -0.61
     Grayson
    -0.60
    Ax
    -0.60
    POSITIVE LOGITS
     restaurants
    3.52
     Restaur
    2.79
     restaurant
    2.30
     cafes
    2.28
     supermarkets
    2.11
     hotels
    2.06
     chefs
    2.02
     kitchens
    2.00
     Restaurant
    2.00
     restaur
    1.97
    Activations Density 0.011%

    No Known Activations