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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. 0-RES-JB
    6. 16175
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    oai_token-act-pair · gpt-3.5-turbo

    questions starting with the word "What."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     favour
    -0.76
     reserve
    -0.74
     favor
    -0.74
     arch
    -0.71
     close
    -0.67
     receiving
    -0.64
     firm
    -0.64
     ranking
    -0.64
     res
    -0.63
     due
    -0.63
    POSITIVE LOGITS
    What
    2.81
    Why
    2.21
    How
    2.11
    Who
    2.08
    WHAT
    2.05
    what
    2.04
    Where
    1.86
    Which
    1.81
     What
    1.77
    Whatever
    1.70
    Activations Density 0.022%

    No Known Activations