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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. 21418
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    Explanations

    names of individuals or companies related to film production

    oai_token-act-pair · gpt-3.5-turbo

    terms related to film production and direction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     sizing
    -0.63
    bra
    -0.59
    tro
    -0.58
    isms
    -0.57
     trailing
    -0.56
     brakes
    -0.55
     inability
    -0.55
    MORE
    -0.54
     vantage
    -0.54
     inacc
    -0.54
    POSITIVE LOGITS
     by
    1.29
     BY
    1.16
    by
    1.08
     jointly
    1.01
    bys
    0.96
    By
    0.94
     By
    0.87
     democratically
    0.87
    ª
    0.84
    itled
    0.76
    Activations Density 0.191%

    No Known Activations