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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. 5-RES-JB
    6. 5979
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    Explanations

    references to zip codes

    oai_token-act-pair · gpt-3.5-turbo

    references to zip codes and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raising
    -0.84
    ruciating
    -0.82
    igmatic
    -0.81
    veyard
    -0.79
    nesota
    -0.78
    ¯¯
    -0.78
    ership
    -0.75
    swer
    -0.72
     Democr
    -0.72
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.72
    POSITIVE LOGITS
     zip
    0.91
    Zip
    0.89
     Zip
    0.82
    zip
    0.78
     sum
    0.73
    INO
    0.72
    Mesh
    0.70
    ijn
    0.68
    aza
    0.68
     Mehran
    0.68
    Activations Density 0.014%

    No Known Activations