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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    references to parking lots

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to parking lots

    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
    oire
    -0.77
    wart
    -0.74
    stal
    -0.72
    emaker
    -0.70
     Paste
    -0.69
    strength
    -0.69
    yth
    -0.68
    nat
    -0.67
    urai
    -0.66
     Revolution
    -0.65
    POSITIVE LOGITS
     parking
    3.62
     Parking
    2.88
     parked
    1.76
     driveway
    1.73
    park
    1.68
     seating
    1.49
    Park
    1.48
     park
    1.47
     PARK
    1.40
     taxi
    1.34
    Activations Density 0.019%

    No Known Activations