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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
    11. 14835
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    Explanations

    references to Switzerland

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Switzerland

    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
    ||||
    -0.79
     manifest
    -0.70
     ap
    -0.70
    ̶
    -0.65
    edient
    -0.65
     commanders
    -0.64
     parse
    -0.64
     ble
    -0.64
    Alpha
    -0.63
    gamer
    -0.63
    POSITIVE LOGITS
     Switzerland
    3.73
     Zurich
    2.58
     Swiss
    2.47
    itzerland
    1.96
     Geneva
    1.75
     Austria
    1.74
     Luxembourg
    1.74
     Belgium
    1.69
     Sweden
    1.62
     Finland
    1.60
    Activations Density 0.028%

    No Known Activations