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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. 2-RES-JB
    11. 19968
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    Explanations

    phrases related to emphasizing the importance of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the significance of various concepts or topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wonderland
    -0.74
    Snow
    -0.69
    alking
    -0.66
    aah
    -0.63
     Rider
    -0.62
     Flesh
    -0.62
    License
    -0.62
    apons
    -0.62
    thus
    -0.61
    Sus
    -0.61
    POSITIVE LOGITS
     importance
    1.11
     proble
    1.00
     traged
    0.88
    awaru
    0.86
    xual
    0.84
     tremend
    0.83
     consideration
    0.82
     significance
    0.81
    olicy
    0.80
     impact
    0.78
    Activations Density 0.013%

    No Known Activations