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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. 3426
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    Explanations

    phrases containing pronouns followed by "be" verbs

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual, highlighting their actions and characteristics

    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
    DAY
    -0.71
    âĦ¢:
    -0.69
     Sao
    -0.63
     Alas
    -0.63
     è£ıè
    -0.62
     Gund
    -0.61
     XI
    -0.59
     Mehran
    -0.59
    prem
    -0.57
     Pad
    -0.56
    POSITIVE LOGITS
    zbollah
    1.29
     mathemat
    0.96
    'll
    0.95
     [
    0.92
    're
    0.91
    pherd
    0.90
     incent
    0.89
     definitely
    0.87
     ain
    0.87
     really
    0.87
    Activations Density 0.284%

    No Known Activations