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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. 108
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    names of people and notable figures

    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
     targ
    -0.81
     Munich
    -0.77
    redit
    -0.73
     Dian
    -0.67
     meg
    -0.66
     phys
    -0.65
     synd
    -0.65
     hots
    -0.65
    Ds
    -0.64
     PK
    -0.64
    POSITIVE LOGITS
     Vas
    1.85
     Emily
    1.71
    Emily
    1.49
     Coffin
    1.07
     Vance
    1.04
     Coff
    1.00
     Rochester
    0.98
     Gupta
    0.94
     Caleb
    0.94
     Claire
    0.93
    Activations Density 0.043%

    No Known Activations