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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. 5-RES-JB
    6. 21199
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    Explanations

    coding-related terms and possibly error messages

    oai_token-act-pair · gpt-3.5-turbo

    structured data, particularly in the form of error messages and code snippets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     endings
    -0.67
     impunity
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    leans
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     abduct
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    ĺħ
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    rats
    -0.65
     conclud
    -0.63
     confir
    -0.63
    ongyang
    -0.62
     subsequ
    -0.62
    POSITIVE LOGITS
    ":{"
    1.10
    quickShipAvailable
    1.00
    ":["
    0.94
    ":[{"
    0.89
    tnc
    0.88
    ItemImage
    0.88
    isSpecialOrderable
    0.83
    ãĥĺãĥ©
    0.83
    soType
    0.79
    inventoryQuantity
    0.79
    Activations Density 0.057%

    No Known Activations