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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. 1-RES-JB
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    Explanations

    mentions or references to Switzerland

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Swiss" and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cigarettes
    -0.68
     negligent
    -0.67
     Pigs
    -0.66
     Centauri
    -0.64
     candles
    -0.64
     Explain
    -0.64
     Lovecraft
    -0.63
     neglect
    -0.63
     lies
    -0.62
     caution
    -0.62
    POSITIVE LOGITS
    Sw
    1.16
    ifty
    1.02
    inn
    0.97
    ipeg
    0.96
    inton
    0.93
    imming
    0.91
    itzerland
    0.89
    eden
    0.89
    immer
    0.86
    addle
    0.84
    Activations Density 0.005%

    No Known Activations