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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. 20096
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    INDEX
    Explanations

    phrases indicating something remarkable or out of the ordinary

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "extraordinary"

    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
    ©¶æ
    -0.96
    rio
    -0.87
    gage
    -0.76
    hr
    -0.75
    hm
    -0.75
    rien
    -0.70
    hn
    -0.69
    nan
    -0.69
    ËĪ
    -0.69
    ja
    -0.69
    POSITIVE LOGITS
    ordinary
    1.07
     rendition
    1.03
     lengths
    0.86
     coincidence
    0.85
     amounts
    0.83
     measures
    0.83
     extraordinary
    0.80
     leaps
    0.79
     feats
    0.79
    NESS
    0.78
    Activations Density 0.015%

    No Known Activations