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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. 5-RES-JB
    6. 11996
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    Explanations

    names of people and their titles or roles

    oai_token-act-pair · gpt-3.5-turbo

    commas in lists of names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     receptors
    -0.71
     stereotypes
    -0.70
    idepress
    -0.63
     heights
    -0.63
     dreams
    -0.63
    othal
    -0.62
     expectations
    -0.61
     calendar
    -0.61
    process
    -0.61
     subconscious
    -0.60
    POSITIVE LOGITS
     meanwhile
    0.86
     QC
    0.85
     Jr
    0.82
     Sr
    0.81
     LLP
    0.76
     MD
    0.76
     spokeswoman
    0.73
     bom
    0.73
     aka
    0.72
     pictured
    0.72
    Activations Density 0.225%

    No Known Activations