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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. 6-RES-JB
    6. 15733
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    Explanations

    quotations or phrases enclosed in quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    quotations or dialogue in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     mapping
    -0.77
     footing
    -0.70
     administrator
    -0.69
     enrol
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     bonded
    -0.68
     account
    -0.65
     express
    -0.65
     restart
    -0.65
     comple
    -0.65
     hangar
    -0.64
    POSITIVE LOGITS
    Hey
    1.25
    BuyableInstoreAndOnline
    1.11
    We
    1.09
    Dear
    1.09
    Hi
    1.06
    Hello
    1.05
    I
    1.04
    Don
    1.04
    Yeah
    1.04
    What
    1.02
    Activations Density 0.113%

    No Known Activations