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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. 3-RES-JB
    11. 5835
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    INDEX
    Explanations

    measurement units related to power or energy

    oai_token-act-pair · gpt-3.5-turbo

    quantitative measures related to energy production and consumption

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iar
    -0.68
     wizard
    -0.66
    ady
    -0.63
     dign
    -0.63
     literature
    -0.61
    know
    -0.61
    aign
    -0.60
    Events
    -0.60
     legends
    -0.59
     excellence
    -0.59
    POSITIVE LOGITS
     (~
    0.78
    poons
    0.76
     (£
    0.75
    cius
    0.73
    pees
    0.72
    elsius
    0.72
     kWh
    0.72
     pounds
    0.72
    bps
    0.71
     overall
    0.71
    Activations Density 0.314%

    No Known Activations