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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. 15603
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    Explanations

    quotations

    oai_token-act-pair · gpt-3.5-turbo

    quoted speech or dialogue

    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
     scheduled
    -0.76
     periodic
    -0.74
     adv
    -0.74
     sway
    -0.73
     adjud
    -0.72
     grazing
    -0.71
     unborn
    -0.70
     favor
    -0.69
     advertised
    -0.68
     footing
    -0.68
    POSITIVE LOGITS
    We
    1.19
    Especially
    1.13
    It
    1.12
    Because
    1.12
    There
    1.10
    They
    1.10
    Obviously
    1.10
    I
    1.09
    Sometimes
    1.08
    Whereas
    1.08
    Activations Density 0.090%

    No Known Activations