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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. 7-RES-JB
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    Explanations

    mentions related to taxi services

    oai_token-act-pair · gpt-3.5-turbo

    references to taxi services and related terms

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Flavoring
    -0.95
    natureconservancy
    -0.83
    Downloadha
    -0.82
    maxwell
    -0.77
    isite
    -0.76
    itud
    -0.74
    utz
    -0.74
    wart
    -0.72
    iversal
    -0.72
    oln
    -0.70
    POSITIVE LOGITS
     cab
    0.94
     taxi
    0.89
     rides
    0.84
     taxis
    0.80
     drivers
    0.80
    driver
    0.78
    ways
    0.78
    bay
    0.77
     licence
    0.76
     ride
    0.76
    Activations Density 0.018%

    No Known Activations