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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
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    Explanations

    references to the ride-sharing company "Uber"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the ride-sharing company Uber

    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
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    No Comments

    Negative Logits
     deficiency
    -0.72
     plant
    -0.69
     vit
    -0.68
    grass
    -0.68
     moist
    -0.66
     GI
    -0.66
    ieth
    -0.66
     framing
    -0.65
    apon
    -0.65
     disposed
    -0.65
    POSITIVE LOGITS
     Uber
    3.70
    Uber
    3.48
     Lyft
    2.57
     Airbnb
    2.11
     Taxi
    1.75
     taxis
    1.72
     uber
    1.71
     taxi
    1.71
     Dropbox
    1.58
     Tinder
    1.57
    Activations Density 0.024%

    No Known Activations