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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. 8-RES-JB
    11. 8579
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    Explanations

    terms related to power or energy consumption

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with power and energy measurement, specifically focusing on the term "watts" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oslov
    -0.78
    ERAL
    -0.70
    ozo
    -0.67
    boss
    -0.67
    sson
    -0.66
    esan
    -0.66
    neys
    -0.65
    ocus
    -0.63
    fix
    -0.63
     Phantom
    -0.62
    POSITIVE LOGITS
    atts
    1.24
     Watts
    0.85
    aic
    0.81
    vernment
    0.80
     watt
    0.79
    itness
    0.75
    inventoryQuantity
    0.73
    iation
    0.73
     teasp
    0.72
     nomine
    0.72
    Activations Density 0.098%

    No Known Activations