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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. 8-RES-JB
    11. 10456
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    Explanations

    phrases related to political statements or announcements

    oai_token-act-pair · gpt-3.5-turbo

    sentence endings or periods in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     opio
    -0.73
     quality
    -0.73
     mosqu
    -0.73
     extinct
    -0.72
     purse
    -0.68
     glim
    -0.67
     sequential
    -0.67
    duct
    -0.67
     imprint
    -0.67
     harvest
    -0.66
    POSITIVE LOGITS
     Speaking
    1.43
     Saying
    1.35
     Asked
    1.34
     Specifically
    1.31
     Refer
    1.23
    Speaking
    1.12
     He
    1.10
    Refer
    1.09
     His
    1.07
     Instead
    1.07
    Activations Density 0.368%

    No Known Activations