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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. 11-RES-JB
    11. 50
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    Explanations

    references to financial terms or companies, particularly focusing on the term "Dow" and related to shareholder returns or stock market activity

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "Dow" or related financial indices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é»Ĵ
    -0.80
    iquid
    -0.67
    omorphic
    -0.67
    ãĤ¹ãĥĪ
    -0.66
    aries
    -0.66
    boxing
    -0.65
     Masquerade
    -0.63
    utes
    -0.60
     Rebels
    -0.59
    obl
    -0.59
    POSITIVE LOGITS
     Chemical
    1.00
     Jones
    0.86
    cake
    0.86
     Indust
    0.85
    lings
    0.83
    dy
    0.81
    ling
    0.80
    ried
    0.79
     Constantine
    0.79
    ries
    0.79
    Activations Density 0.068%

    No Known Activations