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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. 9-RES-JB
    11. 7500
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    é¾įå¥ij士
    -0.84
    ãĥ¡
    -0.68
    ãĥĪ
    -0.62
    taboola
    -0.61
     Krish
    -0.56
    Topic
    -0.55
     phosph
    -0.55
    ãĤ¹
    -0.54
    ãĥ¼ãĤ¯
    -0.54
    è£ħ
    -0.54
    POSITIVE LOGITS
    llor
    0.84
    ourke
    0.80
    ullivan
    0.76
    uliffe
    0.74
    inion
    0.69
    herty
    0.68
    UFF
    0.68
    aeda
    0.66
    ATA
    0.66
    oyer
    0.65
    Activations Density 0.070%

    No Known Activations