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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. 15659
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    Explanations

    commands or actions related to the delivery or delay of items/services

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "deliver."

    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
     Moonlight
    -0.83
     Occupations
    -0.79
     Asylum
    -0.77
    ģ«
    -0.77
    ĸļ
    -0.76
     Patriarch
    -0.72
     Miko
    -0.69
    Ĥİ
    -0.67
     Fields
    -0.66
     Enhancement
    -0.65
    POSITIVE LOGITS
    ivery
    1.37
    aware
    1.34
    icate
    1.20
    uxe
    1.17
    usional
    1.14
    icates
    1.07
    ayed
    1.00
    ivering
    0.98
    iber
    0.97
    ution
    0.97
    Activations Density 0.007%

    No Known Activations