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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. 12288
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    Explanations

    words related to sudden and significant increase or rise

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rapid increases in quantity or value

    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
    Nap
    -0.62
     harmless
    -0.62
    itu
    -0.62
    ACTED
    -0.61
    nda
    -0.61
    MI
    -0.61
     Nig
    -0.59
    nothing
    -0.57
     restraint
    -0.56
    fact
    -0.56
    POSITIVE LOGITS
     popularity
    0.83
     exponentially
    0.81
     upward
    0.81
     leaps
    0.79
     astron
    0.79
     overnight
    0.77
     into
    0.75
    wards
    0.74
     upwards
    0.72
    astically
    0.72
    Activations Density 0.140%

    No Known Activations