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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. 16568
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    Explanations

    phrases related to artistic or professional accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    references to the work and contributions of artists or creators

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Ukrain
    -0.95
    wcs
    -0.70
     Rohing
    -0.66
     Predators
    -0.64
     Diet
    -0.62
     Comfort
    -0.62
    ylon
    -0.62
     champagne
    -0.61
     snap
    -0.61
    Args
    -0.61
    POSITIVE LOGITS
     ethic
    1.40
    flows
    1.24
    station
    1.20
    aday
    1.07
    horse
    1.07
    manship
    1.05
    bench
    1.02
    fare
    0.94
    mates
    0.93
    mate
    0.89
    Activations Density 0.048%

    No Known Activations