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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. 9-RES-JB
    11. 1388
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    Explanations

    phrases related to getting things done or accomplished

    oai_token-act-pair · gpt-3.5-turbo

    assertive statements about challenges and action-oriented solutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Weird
    -0.92
     celeb
    -0.81
     banned
    -0.77
     Craigslist
    -0.76
     prank
    -0.76
     slang
    -0.75
     hilar
    -0.74
     creepy
    -0.72
     eater
    -0.68
     frequ
    -0.68
    POSITIVE LOGITS
    rastructure
    0.90
     roadmap
    0.88
     achievable
    0.87
     stabil
    0.87
     progress
    0.86
     objectives
    0.84
     timetable
    0.81
     urgently
    0.81
     envis
    0.81
    framework
    0.81
    Activations Density 0.993%

    No Known Activations