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

    mentions of taxi services

    oai_token-act-pair · gpt-3.5-turbo

    mentions of taxi services and related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.99
    Downloadha
    -0.84
    natureconservancy
    -0.77
    vironment
    -0.75
    wart
    -0.71
    itud
    -0.69
    utz
    -0.69
    umenthal
    -0.68
    maxwell
    -0.67
    mberg
    -0.67
    POSITIVE LOGITS
     cab
    1.05
     drivers
    1.01
     taxi
    0.98
     driver
    0.94
     ride
    0.92
     rides
    0.91
     taxis
    0.87
     fare
    0.86
     Driver
    0.86
     fares
    0.84
    Activations Density 0.028%

    No Known Activations