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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 1318
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Geh
    -0.65
     Doctrine
    -0.64
     Siren
    -0.64
    iPhone
    -0.64
     DeV
    -0.62
    lat
    -0.61
    Keys
    -0.61
    pox
    -0.61
    rod
    -0.61
    NEY
    -0.60
    POSITIVE LOGITS
     supplements
    1.19
     supplement
    1.07
    utical
    0.96
    acebook
    0.96
     supplementation
    0.89
    ritional
    0.89
    aceutical
    0.87
     creatine
    0.85
    itures
    0.84
    undown
    0.81
    Activations Density 0.010%

    No Known Activations