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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. 4-RES-JB
    11. 13213
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    Explanations

    phrases related to a comparison involving a decrease in quantity or value

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities or measures that are less than a specified amount

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

    No Comments

    Negative Logits
    DK
    -0.78
    Draft
    -0.76
     Origins
    -0.73
     Properties
    -0.71
    TRY
    -0.70
    MA
    -0.68
    Origin
    -0.68
    ãĤ±
    -0.67
    ULT
    -0.66
    Aren
    -0.66
    POSITIVE LOGITS
     than
    1.16
    ened
    1.04
    ening
    0.95
    thumbnails
    0.79
     conspicuous
    0.78
     stringent
    0.77
     forgiving
    0.75
    than
    0.75
    nces
    0.73
     intrusive
    0.73
    Activations Density 0.033%

    No Known Activations