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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

    phrases related to money, particularly the mention of specific monetary amounts like "dime" and "penny"

    oai_token-act-pair · gpt-3.5-turbo

    references to small denominations of currency, particularly dimes and pennies

    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
    ãĤ±
    -0.83
     Aval
    -0.78
    Desc
    -0.76
     Pru
    -0.70
    Urban
    -0.69
     Cosponsors
    -0.67
    KEN
    -0.67
     Prov
    -0.66
     Rapp
    -0.64
     Deliver
    -0.64
    POSITIVE LOGITS
     penny
    1.04
     dime
    0.99
    bilt
    0.96
     dollar
    0.93
     dollars
    0.85
    dollar
    0.82
     loaf
    0.82
     cents
    0.81
    iasis
    0.81
    hyde
    0.80
    Activations Density 0.006%

    No Known Activations