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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. 8-RES-JB
    11. 11801
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    Explanations

    references to different types of garments and clothing items

    oai_token-act-pair · gpt-3.5-turbo

    references to clothing and attire

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BTC
    -0.83
    onential
    -0.82
     msec
    -0.80
    alysis
    -0.79
    Torrent
    -0.79
    uclear
    -0.79
    esian
    -0.78
    ministic
    -0.76
    terness
    -0.74
    rate
    -0.73
    POSITIVE LOGITS
     worn
    1.64
     wearer
    1.40
     attire
    1.34
     hairst
    1.33
     wardrobe
    1.32
     gown
    1.32
     sleeves
    1.30
     adorned
    1.29
     wore
    1.28
     costume
    1.27
    Activations Density 0.750%

    No Known Activations