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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. 10-RES-JB
    6. 12604
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    INDEX
    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    common endings of names or surnames

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     privile
    -0.80
     disproportion
    -0.73
    govtrack
    -0.72
    utory
    -0.69
    raviolet
    -0.69
    ãĥij
    -0.68
    Issue
    -0.67
     bookmark
    -0.67
    lihood
    -0.67
    Operation
    -0.64
    POSITIVE LOGITS
     said
    1.36
     told
    1.35
     joked
    1.31
     says
    1.27
     exclaimed
    1.17
     remarked
    1.17
     tells
    1.16
     laughs
    1.16
     explained
    1.15
     laughed
    1.14
    Activations Density 0.131%

    No Known Activations