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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. 20638
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    Explanations

    the word "Are" at the beginning of questions

    oai_token-act-pair · gpt-3.5-turbo

    questions starting with "Are" that probe for confirmation or clarification

    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
     hand
    -0.57
     drafts
    -0.57
     given
    -0.55
     fixture
    -0.55
     straight
    -0.54
     dash
    -0.54
     solution
    -0.53
    rious
    -0.53
    åĤ
    -0.53
     priv
    -0.53
    POSITIVE LOGITS
     Are
    3.21
    Are
    2.12
     Were
    2.02
     Aren
    1.95
     Is
    1.84
     ARE
    1.68
     Did
    1.59
     Have
    1.49
    Were
    1.48
     Can
    1.46
    Activations Density 0.011%

    No Known Activations