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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. 8-RES-JB
    11. 795
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    Explanations

    mentions of objects made of strings

    oai_token-act-pair · gpt-3.5-turbo

    references to musical or artistic elements

    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
    tical
    -0.84
    undai
    -0.83
    mos
    -0.75
    espie
    -0.74
    psy
    -0.72
    icago
    -0.72
    mares
    -0.72
    hammad
    -0.70
    ternity
    -0.69
    regor
    -0.66
    POSITIVE LOGITS
     bikini
    0.88
    ency
    0.81
    entially
    0.80
    ently
    0.77
    ify
    0.75
    ãĤ¡
    0.75
    ified
    0.74
    ifying
    0.73
    ãĤ©
    0.73
    ually
    0.72
    Activations Density 0.027%

    No Known Activations