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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. 0-RES-JB
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    Explanations

    the word "wit" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "wit" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ylum
    -0.77
    orders
    -0.63
     Bath
    -0.63
     PAL
    -0.62
    araoh
    -0.62
     Malaysia
    -0.61
    ental
    -0.61
    mitted
    -0.61
    SEA
    -0.61
    ord
    -0.60
    POSITIVE LOGITS
     wit
    4.24
     Wit
    1.68
    wit
    1.43
     wi
    1.12
     humor
    1.05
     humour
    1.05
     w
    1.03
     wil
    0.99
     wink
    0.97
     witty
    0.92
    Activations Density 0.019%

    No Known Activations