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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. 10-RES-JB
    6. 7818
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    Explanations

    interrogative sentences with question marks

    oai_token-act-pair · gpt-3.5-turbo

    rhetorical questions and queries regarding opinions or expectations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     enriched
    -0.84
     synerg
    -0.81
     downstream
    -0.80
     flowing
    -0.79
     sustained
    -0.79
     netted
    -0.79
     raided
    -0.79
     flowering
    -0.79
     neighb
    -0.78
     upstream
    -0.77
    POSITIVE LOGITS
    Answer
    2.42
    Well
    2.02
    Absolutely
    1.82
    Yes
    1.75
    Probably
    1.72
    Wr
    1.64
    Actually
    1.56
    Certainly
    1.55
    YES
    1.54
    Maybe
    1.51
    Activations Density 0.152%

    No Known Activations