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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. 4-RES-JB
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    Explanations

    mentions of financial terms related to investment returns

    oai_token-act-pair · gpt-3.5-turbo

    terms related to financial returns and investments

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

    No Comments

    Negative Logits
    æĪ¦
    -0.72
    vern
    -0.69
    Cola
    -0.68
    acht
    -0.64
    fusc
    -0.62
    specific
    -0.62
    éĹĺ
    -0.61
    天
    -0.60
    Cap
    -0.60
     Parenthood
    -0.60
    POSITIVE LOGITS
    ees
    0.99
     Opportunity
    0.74
    prise
    0.72
    home
    0.71
    eed
    0.71
    eeds
    0.69
    owship
    0.69
    water
    0.69
    ability
    0.68
    nil
    0.67
    Activations Density 0.024%

    No Known Activations