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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. 12-RES-JB
    11. 2341
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    Explanations

    a strong emotional reaction or emphasis on the intensity of something

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    expressions of gratitude or admiration

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     emergencies
    -0.64
     shortest
    -0.59
     chronological
    -0.58
     announcements
    -0.56
     Accounting
    -0.56
     Transcript
    -0.56
     Millennium
    -0.55
     Minutes
    -0.55
     transitional
    -0.55
     Procedure
    -0.55
    POSITIVE LOGITS
     much
    1.52
     MUCH
    1.24
    much
    1.23
     dearly
    1.14
     Much
    1.08
     greatly
    1.06
     passionately
    1.06
     badly
    1.03
     deeply
    1.01
     strongly
    0.98
    Activations Density 0.137%

    No Known Activations