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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. 3-RES-JB
    11. 12650
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    Explanations

    mentions of financial investments or plans to invest money

    oai_token-act-pair · gpt-3.5-turbo

    references to financial investments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Machina
    -0.73
     Blaz
    -0.73
    ĪĴ
    -0.73
     Gemini
    -0.70
    Van
    -0.66
    sample
    -0.63
    chal
    -0.63
     Mash
    -0.63
    ffe
    -0.61
    PLE
    -0.60
    POSITIVE LOGITS
    iture
    1.15
    itures
    1.10
    igate
    0.87
     investment
    0.86
    ayers
    0.86
    iment
    0.85
     investing
    0.85
     invested
    0.83
    ational
    0.81
     banker
    0.81
    Activations Density 0.022%

    No Known Activations