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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. 11686
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    Explanations

    mentions of time periods, specifically the 21st century

    oai_token-act-pair · gpt-3.5-turbo

    references to the 21st century

    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
    hod
    -0.81
    atin
    -0.76
    abul
    -0.75
    ECTION
    -0.73
     Strongh
    -0.73
    uala
    -0.72
    aturday
    -0.71
    ema
    -0.68
    iquid
    -0.68
    amin
    -0.67
    POSITIVE LOGITS
     era
    0.94
     onwards
    0.93
     onward
    0.85
    âĢķ
    0.81
     workforce
    0.68
     superpower
    0.68
    JD
    0.67
     revision
    0.67
     scenario
    0.66
     tsunami
    0.65
    Activations Density 0.040%

    No Known Activations