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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 18285
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    Explanations

    phrases related to laboratory research

    oai_token-act-pair · gpt-3.5-turbo

    mentions of laboratories or lab environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Contents
    -0.68
    Loading
    -0.67
    Billy
    -0.66
     Clash
    -0.66
    Muslims
    -0.65
    ance
    -0.64
    iquette
    -0.63
    ANCE
    -0.63
    gets
    -0.62
     Patton
    -0.62
    POSITIVE LOGITS
     lab
    3.91
     labs
    2.81
     laboratory
    2.50
     Lab
    2.40
    lab
    2.16
     laboratories
    2.03
     Laboratory
    1.92
    Lab
    1.89
     Labs
    1.63
     Laboratories
    1.45
    Activations Density 0.020%

    No Known Activations