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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. 8-RES-JB
    11. 17856
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    Explanations

    dates in the format Month day, year

    oai_token-act-pair · gpt-3.5-turbo

    numerical representations of dates and significant numbers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     blat
    -0.63
     enrichment
    -0.62
     ceilings
    -0.59
    iths
    -0.58
     achievements
    -0.58
     6000
    -0.58
     streng
    -0.57
     Fib
    -0.57
    usercontent
    -0.56
    rys
    -0.55
    POSITIVE LOGITS
    th
    1.02
    externalActionCode
    0.92
    actionDate
    0.82
    ulhu
    0.79
    ths
    0.78
    rd
    0.78
    displayText
    0.73
    Pacific
    0.69
    ember
    0.67
     morning
    0.67
    Activations Density 0.069%

    No Known Activations