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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. 9462
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    Explanations

    phrases related to extraction or extraction processes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "extract" and its variations, indicating a focus on processes of obtaining or deriving something

    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
    ggle
    -0.77
    ndra
    -0.69
    ãĥ¥
    -0.66
    ounce
    -0.64
    ned
    -0.63
    osuke
    -0.62
    gaard
    -0.61
    emate
    -0.60
    ning
    -0.59
    nd
    -0.59
    POSITIVE LOGITS
    ions
    1.11
    racted
    1.03
    IONS
    0.96
    ract
    0.93
    raction
    0.93
    ivist
    0.91
    ION
    0.88
    urized
    0.85
    iary
    0.84
    ively
    0.84
    Activations Density 0.052%

    No Known Activations