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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. 3-RES-JB
    11. 18588
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    Explanations

    details related to pastry and baking ingredients

    oai_token-act-pair · gpt-3.5-turbo

    words related to physical attributes or details in descriptions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ĨĴ
    -0.95
    SpaceEngineers
    -0.75
     feder
    -0.74
    ĸļ
    -0.73
    £ı
    -0.71
    æĢ
    -0.69
    ãĤ¨ãĥ«
    -0.68
    ģ«
    -0.68
     actionGroup
    -0.68
    ĻĤ
    -0.68
    POSITIVE LOGITS
    estone
    0.78
    puff
    0.74
    jee
    0.68
    hedon
    0.67
    belt
    0.66
    bag
    0.64
    flies
    0.63
    loe
    0.62
    rites
    0.62
    lings
    0.62
    Activations Density 0.361%

    No Known Activations