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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. 7196
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    Explanations

    quantitative values or comparisons

    oai_token-act-pair · gpt-3.5-turbo

    phrases that contain numerical comparisons or statistical data

    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
    ende
    -0.72
    ergic
    -0.71
    pter
    -0.70
    elong
    -0.69
    edia
    -0.68
    enment
    -0.68
    Lastly
    -0.68
    ESE
    -0.67
    owner
    -0.66
    erning
    -0.65
    POSITIVE LOGITS
    acle
    1.08
    acles
    0.99
    ifice
    0.92
     equivalent
    0.87
    chard
    0.86
     fractions
    0.81
    acular
    0.79
    ific
    0.77
    chid
    0.77
     680
    0.73
    Activations Density 0.058%

    No Known Activations