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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. 10-RES-JB
    11. 838
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    Explanations

    quantities of people within a group, often indicating a specific role or demographic

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving groupings of multiple entities or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    èª
    -0.74
    catentry
    -0.60
    hedon
    -0.59
    govtrack
    -0.58
    inventoryQuantity
    -0.58
    meric
    -0.57
    dayName
    -0.57
    hee
    -0.57
    endif
    -0.56
    ESE
    -0.56
    POSITIVE LOGITS
     six
    1.27
     five
    1.25
     seven
    1.23
     four
    1.23
     eight
    1.23
     thirteen
    1.18
     nine
    1.18
     three
    1.16
     dozens
    1.14
     twelve
    1.13
    Activations Density 0.233%

    No Known Activations