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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. 1-RES-JB
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    Explanations

    the phrase "full-blown."

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to exaggeration or something being over the top

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilon
    -0.77
    sie
    -0.76
    ept
    -0.75
    ierre
    -0.75
    orb
    -0.72
    xy
    -0.69
    les
    -0.69
    resses
    -0.68
    idas
    -0.67
    aspers
    -0.67
    POSITIVE LOGITS
    blown
    1.20
    fledged
    0.87
     blown
    0.83
    advertising
    0.82
     Away
    0.74
    assetsadobe
    0.71
     tongues
    0.69
    ULTS
    0.69
    OUT
    0.69
    CLASSIFIED
    0.66
    Activations Density 0.017%

    No Known Activations