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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. 3-RES-JB
    6. 11718
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    Explanations

    references to executives, leadership positions, or corporate roles

    oai_token-act-pair · gpt-3.5-turbo

    references to executives and executive roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FACE
    -0.83
     Brist
    -0.71
    theless
    -0.71
    FUL
    -0.69
    TPS
    -0.69
     Franklin
    -0.68
     Sense
    -0.67
     Telegram
    -0.66
     Twain
    -0.66
     Weather
    -0.66
    POSITIVE LOGITS
    ution
    1.51
    utions
    1.41
    utive
    1.37
    uting
    1.28
    utable
    1.22
    uted
    1.14
    exec
    1.08
    utes
    1.01
    ination
    1.01
    utor
    1.00
    Activations Density 0.007%

    No Known Activations