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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. 10-RES-JB
    6. 11684
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    Explanations

    words related to sensitive or confidential information

    oai_token-act-pair · gpt-3.5-turbo

    terms related to secrecy and serious incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ̶
    -0.88
    ecause
    -0.84
    ocrates
    -0.81
    olkien
    -0.77
    Ô
    -0.74
    [_
    -0.73
    cius
    -0.71
    akespeare
    -0.71
    olean
    -0.70
    ventus
    -0.68
    POSITIVE LOGITS
     ordeal
    1.14
     incident
    1.11
     arrangement
    1.06
     portion
    1.06
     event
    1.03
     endeavor
    1.03
     affair
    1.02
     probe
    1.02
     operation
    1.01
     edition
    1.00
    Activations Density 0.419%

    No Known Activations