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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. 949
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    Explanations

    phrases indicating disbelief or surprise

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "I was like" in various contexts

    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
    •layer 11 - surprise

    No Comments

    Negative Logits
    isu
    -0.65
    aired
    -0.63
    aples
    -0.63
    ords
    -0.62
    pered
    -0.62
    ezvous
    -0.62
    icipated
    -0.58
    eatured
    -0.57
    enders
    -0.57
    TPS
    -0.57
    POSITIVE LOGITS
     '[
    1.17
     '
    1.15
     wow
    1.07
     oh
    1.06
     `
    1.00
     "'
    0.95
     '(
    0.95
    ,
    0.95
     hey
    0.95
    :
    0.93
    Activations Density 0.143%

    No Known Activations