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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. 11-RES-JB
    11. 17300
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    Explanations

    interjections expressing surprise or exclamation

    oai_token-act-pair · gpt-3.5-turbo

    expressions of surprise or exclamation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iership
    -0.73
    Merit
    -0.73
    ients
    -0.68
    iaries
    -0.66
     cultivating
    -0.65
     endeavors
    -0.65
    idelity
    -0.65
     pursuits
    -0.64
     Flavoring
    -0.63
    ivated
    -0.63
    POSITIVE LOGITS
    âĢ
    1.42
     âĢ
    1.20
    sorry
    1.08
     sorry
    1.00
    Yep
    0.99
    HAHA
    0.99
    yeah
    0.95
    ðŁĺ
    0.94
     Nope
    0.94
    ????
    0.93
    Activations Density 0.462%

    No Known Activations