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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. 1945
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    INDEX
    Explanations

    phrases related to personal experiences and interactions

    oai_token-act-pair · gpt-3.5-turbo

    narratives and personal stories related to experiences and interactions with others

    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
     awaits
    -0.80
    joice
    -0.71
     await
    -0.69
     warns
    -0.69
     Parables
    -0.66
     wield
    -0.65
     foes
    -0.65
     urges
    -0.64
     welcomes
    -0.63
     recy
    -0.63
    POSITIVE LOGITS
    didn
    0.96
     hindsight
    0.94
     [
    0.92
     ['
    0.91
    Initially
    0.90
    went
    0.90
     Came
    0.89
    Eventually
    0.88
    was
    0.87
     Ended
    0.86
    Activations Density 0.633%

    No Known Activations