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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. 3-RES-JB
    11. 17150
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    Explanations

    terms related to software, specifically ending in 'ware'

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of software and technology-related terms

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     autonom
    -0.77
     plural
    -0.72
     Palestin
    -0.69
    ARR
    -0.66
     AMER
    -0.63
     REPORT
    -0.63
     Mane
    -0.62
    ivas
    -0.62
     rapp
    -0.60
     Pound
    -0.60
    POSITIVE LOGITS
    ware
    1.51
    bytes
    1.12
    ness
    1.04
    WARE
    0.93
    housing
    0.90
    manship
    0.90
    fare
    0.88
    nesses
    0.88
    cham
    0.85
    wana
    0.83
    Activations Density 0.013%

    No Known Activations