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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. 2-RES-JB
    11. 5408
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    Explanations

    phrases indicating conformity or adherence to rules, regulations, or standards

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating compliance with rules or regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alone
    -0.76
    OTA
    -0.73
     Turks
    -0.71
    ESE
    -0.68
    ARC
    -0.68
    ILL
    -0.67
    tan
    -0.67
    allo
    -0.67
    disk
    -0.66
    bers
    -0.64
    POSITIVE LOGITS
    chwitz
    1.01
    terness
    0.91
     accordance
    0.89
    uously
    0.89
    uary
    0.84
    inement
    0.83
    tains
    0.77
    formance
    0.77
    uity
    0.77
    iquette
    0.75
    Activations Density 0.014%

    No Known Activations