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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. 19934
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    Explanations

    years mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or specific dates

    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
    plom
    -0.84
    afort
    -0.76
    kell
    -0.73
    ablo
    -0.71
    ño
    -0.71
    hei
    -0.71
    pora
    -0.70
    uana
    -0.69
    iful
    -0.67
    estic
    -0.67
    POSITIVE LOGITS
    âĸĪâĸĪ
    0.94
    committee
    0.84
    th
    0.77
    SW
    0.75
    ISH
    0.73
    40
    0.73
     minutes
    0.72
    200000
    0.71
    mg
    0.71
    oz
    0.71
    Activations Density 0.042%

    No Known Activations