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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. 8-RES-JB
    6. 18236
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    Explanations

    words containing the sequence "ron" followed by a number indicating significance

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the token "ron," indicating a focus on names or terms ending with "ron."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tub
    -0.79
    urai
    -0.69
    PROV
    -0.64
    TPS
    -0.63
    RED
    -0.63
     Virtue
    -0.62
    URA
    -0.61
     Jackets
    -0.61
    AY
    -0.60
     Norn
    -0.59
    POSITIVE LOGITS
     Collider
    1.09
    auts
    1.04
    aldo
    1.03
    autical
    0.99
    omical
    0.96
    omics
    0.95
    ising
    0.92
    stadt
    0.88
    uclear
    0.88
    naire
    0.87
    Activations Density 0.033%

    No Known Activations