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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. 5-RES-JB
    6. 697
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    Explanations

    references to violent actions or events involving law enforcement

    oai_token-act-pair · gpt-3.5-turbo

    articles and demonstratives preceding nouns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    !/
    -0.77
    Contents
    -0.76
    ATURES
    -0.75
     Izan
    -0.74
    Æ
    -0.73
    [/
    -0.72
    /-
    -0.70
     Releases
    -0.69
     Languages
    -0.69
    Allow
    -0.69
    POSITIVE LOGITS
    rouse
    1.06
     woman
    1.05
     handful
    0.98
     couple
    0.97
     burglary
    0.91
     colleague
    0.89
     lot
    0.89
     multitude
    0.88
     small
    0.87
     funeral
    0.87
    Activations Density 0.695%

    No Known Activations