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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. 3-RES-JB
    6. 10206
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    INDEX
    Explanations

    mentions of specific names or entities in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals involved in personal experiences or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    allery
    -0.43
     Romeo
    -0.43
     danced
    -0.43
    arnaev
    -0.42
    uably
    -0.42
     lasted
    -0.41
     furthermore
    -0.41
     Mehran
    -0.40
    enegger
    -0.40
    ãĥ¼ãĥĨãĤ£
    -0.40
    POSITIVE LOGITS
    sw
    0.41
    iasm
    0.40
    min
    0.39
     CONTR
    0.38
     vantage
    0.37
    chem
    0.37
    ackets
    0.37
     margins
    0.37
    arent
    0.36
     depths
    0.34
    Activations Density 5.297%

    No Known Activations