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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. 6-RES-JB
    6. 11036
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    Explanations

    names of individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Arkham
    -0.72
     Normandy
    -0.71
     parole
    -0.70
     Hitchcock
    -0.69
     msec
    -0.66
     Phillies
    -0.65
     replay
    -0.65
     NIGHT
    -0.65
     BART
    -0.64
     AFL
    -0.64
    POSITIVE LOGITS
     Yuan
    1.40
     Xia
    1.37
    jiang
    1.36
    wei
    1.34
     Xiang
    1.33
     Jing
    1.32
     Cao
    1.27
     Guang
    1.26
     Ning
    1.25
     Bei
    1.25
    Activations Density 0.078%

    No Known Activations