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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 21938
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    Explanations

    phrases related to contrasting or introducing new information

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and coordinating phrases indicating connectivity or relationships between ideas

    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
    BuyableInstoreAndOnline
    -0.76
    tnc
    -0.74
    ãĥĦ
    -0.73
    matter
    -0.73
    inventoryQuantity
    -0.72
    factor
    -0.71
    dayName
    -0.69
    ibur
    -0.68
    Synopsis
    -0.67
    "]=>
    -0.67
    POSITIVE LOGITS
     many
    1.45
     none
    1.44
     others
    1.35
     dozens
    1.34
     some
    1.33
     few
    1.28
    many
    1.25
     they
    1.22
     countless
    1.21
     several
    1.21
    Activations Density 0.506%

    No Known Activations