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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 24152
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    Explanations

    phrases related to commands or instructions

    oai_token-act-pair · gpt-3.5-turbo

    conversational phrases that express conditions or suggestions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Demand
    -0.76
    ichen
    -0.74
    ãĤ¼ãĤ¦ãĤ¹
    -0.72
    Ö¼
    -0.69
    hab
    -0.69
    hoe
    -0.68
    Attempts
    -0.68
    leneck
    -0.67
    moil
    -0.67
    sbm
    -0.67
    POSITIVE LOGITS
     congr
    1.47
     congratulations
    1.31
     remember
    1.16
     beware
    1.15
     apologies
    1.08
     sorry
    1.07
     note
    1.06
     check
    1.04
     thank
    1.04
     hey
    1.04
    Activations Density 0.202%

    No Known Activations