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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. 0-RES-JB
    6. 14197
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    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    the mention of "Col" followed by numerical values or related identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    REM
    -0.75
    avorite
    -0.69
     slack
    -0.67
    andowski
    -0.66
    ucks
    -0.65
     fumble
    -0.65
    swing
    -0.64
    hift
    -0.63
    lambda
    -0.63
    tarian
    -0.62
    POSITIVE LOGITS
     Col
    3.72
    Col
    2.35
    col
    1.94
     col
    1.88
     COL
    1.79
    COL
    1.70
     Colonel
    1.52
     Maj
    1.50
     Colon
    1.46
     Brig
    1.32
    Activations Density 0.022%

    No Known Activations