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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. 24137
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    Explanations

    words related to economic conditions, such as growth, falling, rising, being squeezed, etc

    oai_token-act-pair · gpt-3.5-turbo

    economic terms and expressions related to financial decline and crisis

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    tein
    -0.71
    ortment
    -0.63
    ZI
    -0.62
    mast
    -0.61
    BD
    -0.60
    arlane
    -0.59
    imental
    -0.58
    oola
    -0.58
    Form
    -0.56
    ellation
    -0.56
    POSITIVE LOGITS
     everywhere
    0.89
    ilaterally
    0.73
     plent
    0.72
     disproportionately
    0.71
     wherever
    0.69
     across
    0.68
     faster
    0.68
     etc
    0.67
    ../
    0.66
     unnecessarily
    0.66
    Activations Density 0.373%

    No Known Activations