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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
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    Explanations

    instances of the word "cash" at various levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    mentions of cash and monetary transactions

    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
     Galile
    -0.81
    £ı
    -0.79
     Dresden
    -0.74
     ozone
    -0.73
     Cosponsors
    -0.70
     Lenn
    -0.69
     Nare
    -0.69
    ARGET
    -0.68
     Hearing
    -0.67
     Sabb
    -0.67
    POSITIVE LOGITS
    mere
    1.12
     cash
    0.91
    cash
    0.86
     receipts
    0.83
     laundering
    0.82
    rencies
    0.82
     strapped
    0.80
     prizes
    0.80
    Cash
    0.79
    elaide
    0.79
    Activations Density 0.013%

    No Known Activations