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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. 9-RES-JB
    6. 11240
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to public and private systems or institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Yorkers
    -0.72
    atism
    -0.68
     Converted
    -0.66
    Americans
    -0.65
    olicited
    -0.62
     Flavoring
    -0.60
    orsi
    -0.58
    paio
    -0.58
    oy
    -0.57
    HCR
    -0.57
    POSITIVE LOGITS
     vicinity
    1.41
     realm
    1.24
     context
    1.18
     midst
    1.13
     attic
    1.12
     arena
    1.10
     area
    1.07
    ixties
    1.06
     category
    1.05
     aisle
    1.04
    Activations Density 0.644%

    No Known Activations