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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. 0-RES-JB
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    Explanations

    mentions of countries or locations, specifically focusing on Austria

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Austria

    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
    yon
    -0.82
     Lantern
    -0.75
     lantern
    -0.75
     cord
    -0.75
    Flash
    -0.73
     Baton
    -0.73
    rogram
    -0.72
    GM
    -0.71
     palms
    -0.70
     Roku
    -0.70
    POSITIVE LOGITS
     Austria
    3.53
    Aust
    3.30
     Austrian
    3.20
     Vienna
    2.27
     Aust
    2.23
     Bav
    1.94
     Hungary
    1.74
     Hungarian
    1.66
     Alps
    1.56
     Alpine
    1.51
    Activations Density 0.034%

    No Known Activations