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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    the verb "shed" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the word "shed" and its various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Frank
    -0.63
     Title
    -0.62
     Franklin
    -0.61
     Authorization
    -0.61
     Priority
    -0.60
     Chef
    -0.58
    tions
    -0.58
     Grand
    -0.58
    Choice
    -0.57
     Coup
    -0.57
    POSITIVE LOGITS
     shed
    4.26
     sheds
    2.76
     shedding
    2.54
    shed
    2.39
     Shed
    2.08
     spilled
    1.12
     loft
    1.03
     ditch
    0.95
     closet
    0.95
     slit
    0.91
    Activations Density 0.016%

    No Known Activations