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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. 7-RES-JB
    11. 21292
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    Explanations

    descriptions of clothing items and accessories

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of clothing and attire

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imer
    -0.85
     VIDEOS
    -0.72
    Lost
    -0.71
    Decre
    -0.70
    rier
    -0.69
     Tycoon
    -0.68
    Leaks
    -0.67
    Minor
    -0.67
    vae
    -0.66
    adium
    -0.66
    POSITIVE LOGITS
     robes
    1.03
     jeans
    1.02
     sleeves
    1.00
     trousers
    0.98
     shaved
    0.96
     sunglasses
    0.94
     hood
    0.94
     robe
    0.94
     waist
    0.93
     adorned
    0.93
    Activations Density 0.396%

    No Known Activations