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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. 13869
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    Explanations

    mentions of the word "Wonder"

    oai_token-act-pair · gpt-3.5-turbo

    references to "Wonder Woman" and related concepts

    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
     destro
    -0.74
    escription
    -0.70
    aution
    -0.68
     manslaughter
    -0.65
    onica
    -0.64
    hovah
    -0.62
     seiz
    -0.62
     kindred
    -0.61
     externalToEVAOnly
    -0.59
     disg
    -0.58
    POSITIVE LOGITS
    fully
    1.02
    kids
    1.01
    bolt
    1.00
    FUL
    0.95
    ful
    0.94
    fulness
    0.91
     Woman
    0.90
    stru
    0.90
     Flavoring
    0.90
    craft
    0.90
    Activations Density 0.057%

    No Known Activations