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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. 2591
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    Explanations

    transport-related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to qualifications or attributes of entities

    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
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    No Comments

    Negative Logits
    enegger
    -0.56
     Aires
    -0.52
    ONEY
    -0.52
    schild
    -0.48
    aida
    -0.47
    retty
    -0.46
    $$$$
    -0.45
    accompan
    -0.45
    KEY
    -0.45
    hovah
    -0.45
    POSITIVE LOGITS
    tenance
    0.68
    lihood
    0.56
    osterone
    0.55
    ruction
    0.55
    terday
    0.55
    ption
    0.53
    quartered
    0.53
    othing
    0.52
    ivery
    0.50
    etheless
    0.49
    Activations Density 0.350%

    No Known Activations