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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. 9-RES-JB
    11. 8713
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    Explanations

    technology-related terms, particularly focusing on equipment, services, and platforms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to media, technology, and entertainment industries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    romy
    -0.84
    otropic
    -0.69
    åŃIJ
    -0.68
    laugh
    -0.68
    cffffcc
    -0.65
    utenberg
    -0.65
    omething
    -0.65
    brew
    -0.65
    bestos
    -0.63
    pless
    -0.63
    POSITIVE LOGITS
     imaginable
    0.82
     EVER
    0.75
     hire
    0.73
    ivals
    0.70
     headquartered
    0.69
     accredited
    0.69
     catering
    0.66
    eers
    0.62
     besides
    0.62
    =-=-=-=-
    0.62
    Activations Density 0.484%

    No Known Activations