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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. 9-RES-JB
    6. 18793
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     oneself
    -0.88
    uador
    -0.75
    cair
    -0.70
    ̶
    -0.69
    tale
    -0.68
     Converted
    -0.68
    tesy
    -0.66
     herself
    -0.66
    nington
    -0.66
    urrencies
    -0.65
    POSITIVE LOGITS
     portfolio
    1.23
     division
    1.18
     lineup
    1.15
     counterparts
    1.09
     partners
    1.09
     holdings
    1.07
     counterpart
    1.03
     advisory
    1.03
     arsenal
    1.01
     divisions
    1.01
    Activations Density 0.586%

    No Known Activations