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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. 6-RES-JB
    6. 12344
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    Explanations

    people using specific words or actions as a characteristic or qualifier

    oai_token-act-pair · gpt-3.5-turbo

    the word "who" in various contexts relating to people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĥãĥī
    -0.68
     Darling
    -0.66
    AN
    -0.66
     Urug
    -0.60
     Pai
    -0.60
     Oz
    -0.59
    ........
    -0.59
    Els
    -0.59
    QUI
    -0.58
    Poké
    -0.58
    POSITIVE LOGITS
     benefited
    0.86
     accompanies
    0.79
    oped
    0.76
    atoon
    0.76
    soever
    0.75
    ortium
    0.74
     violates
    0.73
    arnaev
    0.72
    ikk
    0.72
     participated
    0.72
    Activations Density 0.168%

    No Known Activations