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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. 17087
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    Explanations

    phrases related to following rules or guidelines

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to compliance with rules or regulations

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    alone
    -0.85
    allo
    -0.82
    OTA
    -0.72
    vir
    -0.68
    bind
    -0.66
    dden
    -0.65
    south
    -0.65
    ILL
    -0.65
    moon
    -0.64
    azon
    -0.63
    POSITIVE LOGITS
    uary
    1.01
    chwitz
    0.95
     accordance
    0.91
    lihood
    0.91
    uously
    0.86
    terness
    0.84
    formance
    0.79
    ativity
    0.76
    eous
    0.75
     respects
    0.75
    Activations Density 0.011%

    No Known Activations