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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. 6-RES-JB
    6. 21462
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    INDEX
    Explanations

    phrases indicating a comparison or contrast

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating reliance or attribution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramids
    -0.74
    ongo
    -0.65
     chemistry
    -0.64
    Mem
    -0.64
     anonymity
    -0.63
    uku
    -0.61
    iker
    -0.61
    mill
    -0.61
    artifacts
    -0.60
    MQ
    -0.60
    POSITIVE LOGITS
     tallest
    0.68
     mattered
    0.68
     longest
    0.66
     Carney
    0.65
    abulary
    0.64
     escaped
    0.64
    kson
    0.62
    soever
    0.62
    dn
    0.62
     Nare
    0.61
    Activations Density 0.143%

    No Known Activations