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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. 10-RES-JB
    6. 19658
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    INDEX
    Explanations

    words related to hydration and water-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to water and hydration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģį
    -0.74
     Leap
    -0.64
    éĹĺ
    -0.64
     Mutual
    -0.63
     Isle
    -0.62
    istically
    -0.62
    ãģĦ
    -0.62
     CLSID
    -0.60
     Osw
    -0.60
     messenger
    -0.59
    POSITIVE LOGITS
    ration
    1.44
    rolog
    1.40
    rogen
    1.39
    rol
    1.32
    roph
    1.31
    rology
    1.29
    rated
    1.28
    rating
    1.22
    rop
    1.21
    rox
    1.20
    Activations Density 0.024%

    No Known Activations