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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. 3-RES-JB
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    references to taxi services

    oai_token-act-pair · gpt-3.5-turbo

    references to taxi services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.99
    wart
    -0.82
    utz
    -0.79
    isite
    -0.75
    vironment
    -0.75
    mberg
    -0.73
    phal
    -0.71
    adow
    -0.69
    hem
    -0.68
    iscons
    -0.68
    POSITIVE LOGITS
     taxi
    1.06
     taxis
    1.00
     Taxi
    0.92
     cab
    0.89
     rides
    0.86
     Lyft
    0.79
     Driver
    0.75
     ride
    0.74
     drivers
    0.73
    riages
    0.72
    Activations Density 0.007%

    No Known Activations