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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. 13444
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    INDEX
    Explanations

    words related to earning, income, and financial terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Earn" and related variations, indicating a focus on income or earnings

    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
    EStreamFrame
    -0.79
    OPLE
    -0.78
    é¾įå¥ij士
    -0.67
    MRI
    -0.67
    Downloadha
    -0.65
    PROV
    -0.64
    gdala
    -0.62
    phis
    -0.62
    ORPG
    -0.62
     Shant
    -0.61
    POSITIVE LOGITS
    hardt
    1.32
    Earn
    1.05
     Earn
    1.02
    ners
    0.95
    ings
    0.93
    ership
    0.92
    estine
    0.91
    emy
    0.89
    estones
    0.89
    nings
    0.89
    Activations Density 0.008%

    No Known Activations