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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. 7-RES-JB
    11. 9759
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    Explanations

    words related to various industries such as hospitality, automotive, healthcare, and music

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various industries and sectors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urat
    -0.80
    atever
    -0.76
    amaru
    -0.74
    blance
    -0.74
    rehend
    -0.69
    ////
    -0.67
    zzle
    -0.63
    /-
    -0.62
    enance
    -0.62
     Technique
    -0.61
    POSITIVE LOGITS
     industry
    1.26
     industries
    1.15
     companies
    1.11
     sector
    1.03
    indust
    1.02
     firms
    1.00
     executives
    0.95
     manufacturers
    0.95
     suppliers
    0.92
     Industry
    0.91
    Activations Density 0.446%

    No Known Activations