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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. 19153
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    INDEX
    Explanations

    repetitive phrases indicating occurrences or developments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases indicating past events or occurrences

    oai_token-act-pair · gpt-3.5-turbo
    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
    arta
    -0.76
    ooters
    -0.63
    arily
    -0.62
    atically
    -0.61
    selves
    -0.60
     cylinders
    -0.60
    ooter
    -0.58
     Higgins
    -0.58
     Gleaming
    -0.58
     Tycoon
    -0.57
    POSITIVE LOGITS
     plenty
    0.91
     murm
    0.87
     whispers
    0.85
     uproar
    0.81
     sporadic
    0.81
     renewed
    0.79
     continual
    0.76
     revelations
    0.76
     sightings
    0.76
     setbacks
    0.76
    Activations Density 0.034%

    No Known Activations