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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. 5-RES-JB
    6. 11452
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    Explanations

    terms related to directing or giving instructions

    oai_token-act-pair · gpt-3.5-turbo

    expressively articulated desires or wishes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     agre
    -0.81
     cris
    -0.73
     trump
    -0.70
     overpower
    -0.70
     destro
    -0.70
     sculpt
    -0.69
     streng
    -0.69
    ĸļ
    -0.69
     oun
    -0.68
     thresholds
    -0.68
    POSITIVE LOGITS
    Reply
    1.18
    Topics
    1.16
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    Posts
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    Advertisements
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    1.01
    Translation
    1.01
    Pand
    1.00
    Activations Density 0.367%

    No Known Activations