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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 10698
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    Explanations

    mentions of proper names, particularly surnames and some first names followed by certain terms or titles

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles associated with individuals and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĢ¢âĢ¢
    -0.73
    ãĤ¦
    -0.69
    lished
    -0.68
    FINEST
    -0.61
     VIDE
    -0.58
     yuan
    -0.58
    Gaza
    -0.57
     franc
    -0.57
     Dino
    -0.57
    é¾
    -0.56
    POSITIVE LOGITS
    ttle
    0.95
    issan
    0.88
    mort
    0.77
    anian
    0.73
    essen
    0.72
    acket
    0.71
    ikh
    0.71
    way
    0.71
    ung
    0.69
    bush
    0.68
    Activations Density 0.068%

    No Known Activations