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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. 9-RES-JB
    6. 7751
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    INDEX
    Explanations

    sentences expressing gratitude or satisfaction

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal experiences and emotions related to teamwork and coaching

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Indeed
    -0.77
    DATA
    -0.73
     ®
    -0.71
    îĢ
    -0.70
    etheless
    -0.69
     Indeed
    -0.68
     indeed
    -0.66
     Recall
    -0.66
     urgently
    -0.66
     unsurprisingly
    -0.65
    POSITIVE LOGITS
     [
    1.05
     ['
    0.93
    ,'"
    0.91
     guys
    0.90
     fuckin
    0.87
    laughs
    0.86
     guy
    0.86
     everybody
    0.83
    .'"
    0.83
     somebody
    0.81
    Activations Density 1.199%

    No Known Activations