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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. 2-RES-JB
    11. 13043
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    Explanations

    proper nouns related to people or places, specifically focusing on the name "Lud" and "Yas"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    artney
    -0.80
    orld
    -0.76
    yright
    -0.70
    rodu
    -0.69
     phosphate
    -0.68
    olate
    -0.67
     parap
    -0.67
    keye
    -0.66
    ģĸ
    -0.65
    zona
    -0.65
    POSITIVE LOGITS
     Bark
    0.78
    abyte
    0.70
    adr
    0.70
    acter
    0.69
     Tid
    0.67
     Notting
    0.67
    uyomi
    0.67
    apixel
    0.66
    wich
    0.65
     Lud
    0.64
    Activations Density 0.029%

    No Known Activations