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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. 17434
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    Explanations

    phrases related to profitability and financial success

    oai_token-act-pair · gpt-3.5-turbo

    terms related to financial gain or profitability

    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
     Meditation
    -0.67
    endment
    -0.63
    driver
    -0.62
    ruck
    -0.62
    calling
    -0.62
    Ã
    -0.60
    aos
    -0.60
     Libraries
    -0.60
     Psychiat
    -0.59
    early
    -0.59
    POSITIVE LOGITS
     lucrative
    1.10
     proposition
    0.74
     enough
    0.74
     opportunities
    0.74
     profitable
    0.73
     payday
    0.73
     concess
    0.71
     lure
    0.71
     undermin
    0.70
     bount
    0.70
    Activations Density 0.012%

    No Known Activations