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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. 9-RES-JB
    11. 8754
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    Explanations

    terms related to energy consumption and units of measurement

    oai_token-act-pair · gpt-3.5-turbo

    details related to energy consumption and pricing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     backstage
    -0.66
    actionDate
    -0.65
     scapego
    -0.64
     itiner
    -0.61
     Ragnarok
    -0.61
     lookout
    -0.60
    FORE
    -0.59
    Chuck
    -0.58
     secrecy
    -0.57
     revival
    -0.57
    POSITIVE LOGITS
     increments
    1.08
    imeter
    0.90
    illion
    0.90
     apiece
    0.89
    âĪĴ
    0.89
    atts
    0.89
    ²
    0.88
     per
    0.87
    abytes
    0.86
    poons
    0.86
    Activations Density 0.149%

    No Known Activations