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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 5752
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    Explanations

    adjectives and phrases indicating that something is not meeting expectations or standards

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a failure to meet expectations or standards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iquette
    -0.72
    iane
    -0.70
    itational
    -0.66
    uala
    -0.63
    iol
    -0.62
    ellar
    -0.61
    Leaks
    -0.61
    ILLE
    -0.60
    RAW
    -0.59
    ashtra
    -0.59
    POSITIVE LOGITS
    sighted
    1.19
     of
    1.00
    luster
    0.89
     thereof
    0.89
    falls
    0.86
    changed
    0.85
    ening
    0.85
    lived
    0.81
    fen
    0.77
     Of
    0.76
    Activations Density 0.040%

    No Known Activations