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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. 9475
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    INDEX
    Explanations

    phrases or words related to subjective judgments or opinions

    oai_token-act-pair · gpt-3.5-turbo

    complex phrases related to social issues and human experiences

    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
    arnaev
    -0.61
     confir
    -0.56
    ĪĴ
    -0.56
     Pok
    -0.54
    ãĥ¯ãĥ³
    -0.53
     Sorce
    -0.53
    arthed
    -0.51
     Jagu
    -0.51
    Orig
    -0.50
     streng
    -0.50
    POSITIVE LOGITS
    ".
    2.29
    ",
    2.22
    "?
    2.16
    ";
    2.14
    "!
    2.09
    "
    2.02
    ":
    2.01
    "...
    1.99
    "â̦
    1.99
    ".[
    1.98
    Activations Density 0.481%

    No Known Activations