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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. 3-RES-JB
    6. 10948
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    Explanations

    the name "Kevin" in various contexts and spellings

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Vin" or variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seym
    -0.88
     cropped
    -0.69
     Annotations
    -0.65
     Journals
    -0.63
    ebus
    -0.63
    ¥ŀ
    -0.63
     Continued
    -0.60
     Crossing
    -0.60
     commenters
    -0.60
    steps
    -0.60
    POSITIVE LOGITS
    ces
    1.00
    warm
    0.95
    ci
    0.94
    jury
    0.93
    vin
    0.91
    itive
    0.90
    ston
    0.89
    eteen
    0.88
    nen
    0.88
    itial
    0.88
    Activations Density 0.006%

    No Known Activations