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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. 8-RES-JB
    11. 14207
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    INDEX
    Explanations

    word instances related to ensuring, maintaining, or guaranteeing something

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ensure" and its derivatives, indicating a focus on safety, compliance, and accountability

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    sbm
    -0.75
    EStreamFrame
    -0.73
    kers
    -0.71
    question
    -0.71
     Cosponsors
    -0.69
    ãĤ»
    -0.67
    cffffcc
    -0.66
    DragonMagazine
    -0.65
    kens
    -0.65
    NetMessage
    -0.65
    POSITIVE LOGITS
     stability
    0.95
     compliance
    0.93
     continuity
    0.93
     compatibility
    0.90
     authenticity
    0.90
     fairness
    0.89
     sustainability
    0.87
     adherence
    0.87
     reliability
    0.84
    ially
    0.84
    Activations Density 0.041%

    No Known Activations