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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    4. Residual Stream
    5. 0-RES-JB
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    Explanations

    references to the city of Vienna

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Vienna and related locations

    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
    heed
    -0.71
     certs
    -0.71
    Gear
    -0.71
    GS
    -0.68
     shooters
    -0.66
     corpor
    -0.64
    gear
    -0.62
    malink
    -0.62
    jobs
    -0.62
     Gear
    -0.61
    POSITIVE LOGITS
     Vienna
    4.00
    Vi
    2.19
     Budapest
    2.05
     Prague
    2.03
     Munich
    1.86
     Helsinki
    1.79
     Austria
    1.79
     Warsaw
    1.78
     Zurich
    1.76
     Geneva
    1.73
    Activations Density 0.023%

    No Known Activations