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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. 10-RES-JB
    6. 23551
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    INDEX
    Explanations

    locations frequented by people and objects

    oai_token-act-pair · gpt-3.5-turbo

    references to locations and types of establishments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    maxwell
    -0.68
    CHAT
    -0.65
     appetite
    -0.64
    PUT
    -0.64
    anan
    -0.63
    XT
    -0.62
    ILA
    -0.61
    onite
    -0.59
    ilogy
    -0.58
     Rebellion
    -0.58
    POSITIVE LOGITS
    hops
    1.27
    chool
    1.22
    paces
    1.21
    hips
    1.20
     alike
    1.07
     nationwide
    1.05
     frequ
    1.05
     across
    1.03
    afety
    0.99
     throughout
    0.98
    Activations Density 0.235%

    No Known Activations