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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. 9410
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    Explanations

    percentages or percentage-related terms

    oai_token-act-pair · gpt-3.5-turbo

    percentage values or statistical data

    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
     compr
    -0.84
    gotten
    -0.74
    zek
    -0.72
     unden
    -0.68
    bsite
    -0.68
    ãĤ©
    -0.67
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.64
     notor
    -0.63
     accomp
    -0.62
    pecially
    -0.62
    POSITIVE LOGITS
    WP
    0.78
    uation
    0.75
    cake
    0.71
    %
    0.70
    %%
    0.70
    rowth
    0.69
    %-
    0.69
     inflation
    0.68
    ennial
    0.67
    bps
    0.66
    Activations Density 0.062%

    No Known Activations