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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. 6-RES-JB
    11. 11218
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    Explanations

    currency amounts

    oai_token-act-pair · gpt-3.5-turbo

    monetary values represented in dollar amounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gors
    -0.86
     partName
    -0.77
     exerc
    -0.75
     Pend
    -0.75
     Tid
    -0.74
     Slam
    -0.73
     Valent
    -0.71
     Sed
    -0.70
     Slov
    -0.70
     Halls
    -0.69
    POSITIVE LOGITS
    $$
    1.03
    $$$$
    0.93
    USD
    0.89
    -$
    0.86
    100
    0.83
    winning
    0.82
    ($
    0.82
    dollar
    0.81
    200
    0.81
    avery
    0.80
    Activations Density 0.068%

    No Known Activations