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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. 7-RES-JB
    11. 22826
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    Explanations

    dates and time-related phrases

    oai_token-act-pair · gpt-3.5-turbo

    specific dates and temporal references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vain
    -0.66
    ARI
    -0.66
    Sing
    -0.66
    artifacts
    -0.64
    apixel
    -0.62
    xual
    -0.61
    ibaba
    -0.61
    uras
    -0.61
     è£ıç
    -0.58
     RGB
    -0.57
    POSITIVE LOGITS
     2025
    0.87
     2030
    0.83
     2050
    0.83
     2021
    0.73
     exhaustion
    0.72
    reau
    0.72
     2020
    0.69
    âĸĪâĸĪ
    0.69
     2024
    0.68
    century
    0.67
    Activations Density 0.085%

    No Known Activations