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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. 3-RES-JB
    11. 24564
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    Explanations

    words related to secrecy or hidden information

    oai_token-act-pair · gpt-3.5-turbo

    references to secrecy or classified information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    annis
    -0.94
    gaard
    -0.84
    ©¶æ
    -0.76
    thood
    -0.74
    ð
    -0.73
    Demand
    -0.73
    adjusted
    -0.72
    lihood
    -0.71
    avers
    -0.70
    aml
    -0.69
    POSITIVE LOGITS
    ariat
    1.07
    arial
    1.06
     secret
    1.01
    rets
    0.92
     ballot
    0.86
    secret
    0.83
     sauce
    0.81
     secrets
    0.81
    Secret
    0.80
     ingredient
    0.79
    Activations Density 0.015%

    No Known Activations