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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. 17835
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    INDEX
    Explanations

    mentions of specific names or handles

    oai_token-act-pair · gpt-3.5-turbo

    elements that indicate statistical or numerical data related to sports or demographic information

    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
     Augustus
    -0.89
     266
    -0.89
    Gil
    -0.84
    abase
    -0.82
    aign
    -0.80
     Gib
    -0.79
     Mars
    -0.78
     gib
    -0.78
    idepress
    -0.76
    imore
    -0.75
    POSITIVE LOGITS
     Thompson
    1.45
    Thompson
    1.38
    Thom
    1.18
     Thom
    1.11
     Thomson
    1.09
     Stephenson
    1.07
     Kevin
    1.02
    Stephen
    1.01
    Kevin
    0.99
     Stephen
    0.98
    Activations Density 0.375%

    No Known Activations