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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. 8-RES-JB
    6. 20645
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    Explanations

    names of people involved in various situations or events

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¡
    -0.80
    Americ
    -0.67
    CRE
    -0.66
    tml
    -0.60
    SAM
    -0.57
     Dresden
    -0.56
     Kingdoms
    -0.55
    soType
    -0.55
    category
    -0.55
    ãĥ¬
    -0.54
    POSITIVE LOGITS
     himself
    0.97
     vetoed
    0.95
     reportedly
    0.95
     testified
    0.94
     apologized
    0.93
     responded
    0.90
     allegedly
    0.90
     replied
    0.88
     denies
    0.87
     countered
    0.87
    Activations Density 0.401%

    No Known Activations