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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. 2-RES-JB
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    Explanations

    terms related to profitability or financial success

    oai_token-act-pair · gpt-3.5-turbo

    content related to profitability and lucrative opportunities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hus
    -0.68
    pine
    -0.67
    dust
    -0.67
    gemony
    -0.64
     Hung
    -0.64
    othy
    -0.63
    ago
    -0.63
    eq
    -0.63
    ague
    -0.62
    along
    -0.62
    POSITIVE LOGITS
     profitable
    0.94
    iciary
    0.90
     enterprises
    0.84
     ventures
    0.80
     profit
    0.76
     enterprise
    0.76
     proposition
    0.74
     lucrative
    0.73
    icult
    0.71
     agre
    0.70
    Activations Density 0.009%

    No Known Activations