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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. 11-RES-JB
    11. 22111
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    Explanations

    phrases related to changes or fluctuations in quantities or rates

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "in" followed by numeric values, indicating trends or changes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.74
    Sham
    -0.72
    raid
    -0.72
    fuck
    -0.71
    fort
    -0.70
    brew
    -0.70
    edin
    -0.69
    çīĪ
    -0.69
    herer
    -0.68
    ragon
    -0.68
    POSITIVE LOGITS
     popularity
    1.07
     incidence
    0.97
     productivity
    0.95
     prevalence
    0.94
     rates
    0.93
     demand
    0.92
     expenditures
    0.92
     attendance
    0.88
     revenues
    0.88
     incomes
    0.88
    Activations Density 0.098%

    No Known Activations