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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. 11-RES-JB
    6. 4658
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    Explanations

    phrases that involve reflecting on or showing characteristics or attributes

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ciating
    -0.72
    corn
    -0.71
    icz
    -0.70
     externalToEVAOnly
    -0.69
    queue
    -0.69
    worms
    -0.67
     Unloaded
    -0.66
    phans
    -0.65
     dangling
    -0.62
    é¾įå
    -0.61
    POSITIVE LOGITS
     poorly
    0.95
     negatively
    0.93
     reality
    0.92
    ively
    0.90
     realities
    0.90
     positively
    0.88
     adversely
    0.88
     badly
    0.85
     sunlight
    0.84
     reflections
    0.80
    Activations Density 0.054%

    No Known Activations