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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. 9-RES-JB
    11. 17250
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    Explanations

    the word "profit" or related terms

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to profit motives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Sturgeon
    -0.71
    thia
    -0.70
    chairs
    -0.67
    ocally
    -0.63
     gore
    -0.62
    女
    -0.62
    ña
    -0.61
    ength
    -0.61
    ague
    -0.60
     Athletic
    -0.60
    POSITIVE LOGITS
     margins
    1.26
     margin
    1.16
    ably
    1.13
     motive
    0.97
     profits
    0.85
     profit
    0.85
    ulent
    0.83
     reinvest
    0.81
     maxim
    0.79
     earnings
    0.77
    Activations Density 0.048%

    No Known Activations