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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. 8-RES-JB
    6. 9699
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    Explanations

    references to legal and political matters

    oai_token-act-pair · gpt-3.5-turbo

    references to violence or death

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    bia
    -0.57
     Prix
    -0.54
     CPUs
    -0.54
     occult
    -0.54
     ("
    -0.53
     Biblical
    -0.50
    owered
    -0.49
     Neo
    -0.49
    iga
    -0.49
     aka
    -0.49
    POSITIVE LOGITS
    %"
    1.00
    [/
    0.99
    ?'
    0.81
     [
    0.80
    displayText
    0.80
    */(
    0.79
    ,''
    0.77
     âĢ
    0.76
    .""
    0.75
    ?"
    0.75
    Activations Density 0.975%

    No Known Activations