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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
    11. 11765
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    Explanations

    words related to earning rewards or money

    oai_token-act-pair · gpt-3.5-turbo

    opportunities or contexts related to earning or gaining something

    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
     densely
    -0.62
     Columb
    -0.61
     illum
    -0.59
     mos
    -0.59
    die
    -0.58
     Mub
    -0.58
     Muk
    -0.58
    oning
    -0.58
     Prol
    -0.57
     Franz
    -0.57
    POSITIVE LOGITS
     earn
    1.13
     earning
    0.98
    Earn
    0.88
     earned
    0.87
     Earn
    0.81
    earned
    0.78
     certificates
    0.78
    hardt
    0.77
    chard
    0.77
     earners
    0.76
    Activations Density 0.013%

    No Known Activations