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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. 6712
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to diverse applications and inclusivity across different contexts

    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
    cknowled
    -0.69
     anew
    -0.65
    Dialogue
    -0.65
     hus
    -0.64
     memorandum
    -0.63
     Reborn
    -0.62
     bulldo
    -0.61
    prints
    -0.60
     gle
    -0.60
     reminis
    -0.59
    POSITIVE LOGITS
     types
    1.12
     situations
    1.12
     sectors
    1.05
     purposes
    1.04
     industries
    1.02
     scenarios
    1.01
     contexts
    1.01
     kinds
    1.01
     categories
    1.01
     genres
    1.00
    Activations Density 0.401%

    No Known Activations