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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. 6-RES-JB
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    Explanations

    references to shareholders and their related actions in the context of a company

    oai_token-act-pair · gpt-3.5-turbo

    terms related to shareholders and shareholder value

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebook
    -0.73
    olon
    -0.69
    lez
    -0.68
    ologies
    -0.68
    Dispatch
    -0.67
    OLOG
    -0.65
    OLOGY
    -0.65
     Wilkinson
    -0.64
    tro
    -0.64
    ãģ¦
    -0.64
    POSITIVE LOGITS
     shareholders
    1.04
    holder
    1.01
     shareholder
    0.97
    holders
    0.94
    owners
    0.89
     dividends
    0.87
    iffs
    0.86
     dividend
    0.84
    rats
    0.82
    hips
    0.81
    Activations Density 0.024%

    No Known Activations