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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. 6-RES-JB
    6. 11412
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    Explanations

    references to actions or characteristics related to a specific group of people

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "they" indicating a focus on people or groups being discussed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Eleven
    -0.89
    CCC
    -0.85
     Glob
    -0.72
     Tad
    -0.70
     Kinn
    -0.70
    UTC
    -0.67
     Globe
    -0.67
     Atlantis
    -0.66
     Cable
    -0.66
     Flan
    -0.66
    POSITIVE LOGITS
    're
    1.28
    've
    1.03
    selves
    1.02
    'll
    0.99
    self
    0.91
     selves
    0.89
     themselves
    0.89
     own
    0.87
     perceive
    0.85
     deserve
    0.85
    Activations Density 0.229%

    No Known Activations