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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. 0-RES-JB
    11. 14768
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    Explanations

    years represented as 4 digits followed by a comma then a 2-digit number that stands out

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical values, particularly those ending with "98" or similar patterns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     unpaid
    -0.69
    glass
    -0.69
     Raven
    -0.67
    meal
    -0.67
     Barn
    -0.66
     bell
    -0.65
     Bohem
    -0.64
     Bunny
    -0.62
    boxing
    -0.62
    erville
    -0.62
    POSITIVE LOGITS
    98
    2.67
    97
    2.40
    96
    2.38
    94
    1.69
    985
    1.69
    980
    1.66
    95
    1.62
     98
    1.61
    975
    1.61
    99
    1.60
    Activations Density 0.035%

    No Known Activations