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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. 9-RES-JB
    11. 1497
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    Explanations

    words related to extracting or extraction

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "extract" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ggle
    -0.74
    ounce
    -0.65
    emate
    -0.63
    dream
    -0.61
    cas
    -0.59
    mouth
    -0.58
    ned
    -0.58
     damned
    -0.58
    ndra
    -0.57
    think
    -0.57
    POSITIVE LOGITS
    racted
    0.88
    ibles
    0.88
    ions
    0.85
    raction
    0.83
    ibility
    0.82
    IONS
    0.79
    ordinary
    0.77
     confessions
    0.74
    ION
    0.74
     from
    0.73
    Activations Density 0.072%

    No Known Activations