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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. 9431
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    Explanations

    references to various types or aspects of vehicles

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of vehicles

    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
    ealous
    -0.80
    warm
    -0.70
     snipp
    -0.69
    inker
    -0.68
    pie
    -0.65
     Reed
    -0.64
    yip
    -0.63
     Mayo
    -0.63
     Debbie
    -0.62
     wart
    -0.61
    POSITIVE LOGITS
     vehicles
    3.63
     Vehicles
    2.93
     cars
    2.65
     vehicle
    2.58
     automobiles
    2.30
     Vehicle
    2.24
    Veh
    2.20
     trucks
    2.16
     motorcycles
    2.14
    veh
    2.10
    Activations Density 0.010%

    No Known Activations