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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. 7-RES-JB
    11. 8981
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    Explanations

    phrases indicating surprise or disbelief

    oai_token-act-pair · gpt-3.5-turbo

    concepts or phrases related to unexpected situations or realizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 7 - surprise

    No Comments

    Negative Logits
    sequently
    -0.55
    furt
    -0.55
    icter
    -0.53
     accordingly
    -0.52
    illation
    -0.51
    arsity
    -0.51
     advoc
    -0.50
     undermin
    -0.50
    iona
    -0.50
    swick
    -0.50
    POSITIVE LOGITS
     ..........
    0.59
     Hillary
    0.55
     JUSTICE
    0.54
     Xiaomi
    0.52
     Melania
    0.52
     Narendra
    0.51
     Kanye
    0.50
    ...?
    0.50
     astronomers
    0.50
     âĢº
    0.49
    Activations Density 0.585%

    No Known Activations