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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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    Explanations

    mentions or 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 @ 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
     Lovecraft
    -0.75
    pse
    -0.69
     asbestos
    -0.68
    ||||
    -0.66
    inventoryQuantity
    -0.66
     chemotherapy
    -0.66
     fig
    -0.66
     Centauri
    -0.64
     Mayweather
    -0.63
     headaches
    -0.62
    POSITIVE LOGITS
    itzerland
    1.13
    ifty
    1.03
    eden
    0.99
    inn
    0.91
    ipeg
    0.91
    Sw
    0.84
    ift
    0.84
    bank
    0.83
    imming
    0.81
    ammy
    0.80
    Activations Density 0.013%

    No Known Activations