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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 18505
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    Explanations

    personal and sensitive information

    oai_token-act-pair · gpt-3.5-turbo

    references to personal and sensitive information

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ajor
    -0.73
    STRUCT
    -0.73
    Leader
    -0.72
    ocal
    -0.71
    unct
    -0.71
     Advent
    -0.68
    Sound
    -0.67
     benches
    -0.67
    ido
    -0.66
    ModLoader
    -0.65
    POSITIVE LOGITS
     passwords
    0.96
     inappropriately
    0.94
     password
    0.90
     breaches
    0.87
     privacy
    0.82
     unlawfully
    0.82
     encrypted
    0.81
     collected
    0.78
     belonging
    0.78
     leakage
    0.77
    Activations Density 0.074%

    No Known Activations