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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. 10907
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    INDEX
    Explanations

    phrases indicating a sequence of events or actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the article "the."

    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
    pport
    -0.69
    abin
    -0.69
     comprom
    -0.67
    ovember
    -0.65
    rex
    -0.62
    stadt
    -0.62
     unsuccessfully
    -0.60
    aza
    -0.60
     ±
    -0.59
    endar
    -0.57
    POSITIVE LOGITS
     Numbers
    1.00
     way
    0.99
     grace
    0.86
     end
    0.82
    Numbers
    0.81
     standards
    0.80
    Sea
    0.76
     time
    0.75
     looks
    0.73
     sheer
    0.72
    Activations Density 0.045%

    No Known Activations