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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. 1-RES-JB
    11. 24120
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    Explanations

    information related to large quantities of money

    oai_token-act-pair · gpt-3.5-turbo

    references to large quantities or sums of money

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Adv
    -0.76
    mentioned
    -0.70
    endar
    -0.69
    zen
    -0.64
    occup
    -0.64
    swick
    -0.63
    LV
    -0.63
    ENA
    -0.63
    Theme
    -0.61
    aign
    -0.60
    POSITIVE LOGITS
     millions
    1.05
     Millions
    1.02
     billions
    0.98
     ILCS
    0.87
     crore
    0.78
     dollars
    0.77
     thousands
    0.75
    rats
    0.75
     lashes
    0.74
    ousands
    0.74
    Activations Density 0.014%

    No Known Activations