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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. 16782
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    Explanations

    numerical time-related expressions followed by the word "left"

    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
    Soc
    -0.69
    Jr
    -0.62
     Orth
    -0.61
    pecially
    -0.60
     Harmony
    -0.58
    ħĭ
    -0.58
    attribute
    -0.58
     antit
    -0.57
     Loud
    -0.57
     Associ
    -0.55
    POSITIVE LOGITS
     left
    1.32
     remaining
    1.27
     leftover
    1.03
     elapsed
    0.91
     separating
    0.90
     until
    0.90
     allotted
    0.88
     between
    0.81
     till
    0.81
    iggle
    0.78
    Activations Density 0.092%

    No Known Activations