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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. 6-RES-JB
    6. 22411
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    Explanations

    phrases related to leadership and guidance

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to leading or guiding in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    leave
    -0.67
    potion
    -0.65
    everyone
    -0.65
    stuff
    -0.62
    Internet
    -0.62
    ias
    -0.59
    ynes
    -0.59
     Collider
    -0.59
    answered
    -0.59
    fried
    -0.59
    POSITIVE LOGITS
    assad
    0.73
     constructing
    0.70
    kefeller
    0.67
     crafting
    0.67
     Lauder
    0.67
     drafting
    0.66
     securing
    0.65
    è£ħ
    0.65
    athlon
    0.64
     developing
    0.64
    Activations Density 0.341%

    No Known Activations