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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. 14385
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    Explanations

    references to automobiles or vehicles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of vehicles

    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
    Not in Any Lists

    No Comments

    Negative Logits
    aido
    -0.86
    bread
    -0.80
    iaries
    -0.71
    artz
    -0.70
    gements
    -0.70
    ews
    -0.69
    kai
    -0.68
    yo
    -0.68
     Brother
    -0.67
    awar
    -0.65
    POSITIVE LOGITS
     vehicle
    1.04
     vehicles
    0.92
    veh
    0.91
    Veh
    0.89
     dealership
    0.85
    lane
    0.85
     parked
    0.83
    chairs
    0.80
     Vehicle
    0.79
     cars
    0.78
    Activations Density 0.014%

    No Known Activations