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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. 18669
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    INDEX
    Explanations

    words related to professions and work environments

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to law and authority figures

    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
     lamented
    -0.61
     ®
    -0.60
     CLS
    -0.60
    arnaev
    -0.59
     eagerly
    -0.59
     mere
    -0.58
     famed
    -0.58
     Released
    -0.58
     "#
    -0.57
    surprisingly
    -0.57
    POSITIVE LOGITS
     [
    1.26
     ['
    1.25
     everybody
    1.10
     â̦"
    1.08
     ..."
    1.07
    ,"
    1.07
     somebody
    1.06
    .''
    1.06
    ."
    1.05
    ,'"
    1.05
    Activations Density 1.337%

    No Known Activations