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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. 4-RES-JB
    11. 11191
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    Explanations

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names, particularly the name "Vin."

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

    No Comments

    Negative Logits
    inately
    -0.91
    uyomi
    -0.76
    ngth
    -0.71
    è¦ļéĨĴ
    -0.69
    ¥µ
    -0.67
     Canary
    -0.66
     actionGroup
    -0.64
    Haunted
    -0.63
     DISTR
    -0.63
    inventoryQuantity
    -0.62
    POSITIVE LOGITS
     Diesel
    1.09
    ita
    1.03
    ny
    1.03
     Scully
    0.93
    oshenko
    0.91
     Vin
    0.91
    iti
    0.90
    Äį
    0.89
    eland
    0.88
    ners
    0.88
    Activations Density 0.008%

    No Known Activations