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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. 6-RES-JB
    11. 928
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    Explanations

    sports team names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific sports teams and medical conditions related to the lungs

    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
    EMENT
    -0.72
    Wan
    -0.65
    elsen
    -0.62
    asure
    -0.62
    Factor
    -0.60
    rett
    -0.60
    akin
    -0.60
    Yan
    -0.60
    IGH
    -0.59
     Fab
    -0.59
    POSITIVE LOGITS
    icter
    0.90
    orial
    0.74
    eer
    0.73
    aukee
    0.72
    images
    0.70
    âĸ¬
    0.70
    iflower
    0.70
    ograms
    0.70
    ãĤ¼ãĤ¦ãĤ¹
    0.70
     Jaguars
    0.69
    Activations Density 0.070%

    No Known Activations