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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. 15556
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    INDEX
    Explanations

    words or phrases indicating a trend of increasing intensity or occurrence

    oai_token-act-pair · gpt-3.5-turbo

    the word "increasingly" and its variations, indicating a trend or growing concern

    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
    ieu
    -0.84
     Polo
    -0.81
    ican
    -0.76
     Athlet
    -0.76
    boy
    -0.74
    aign
    -0.72
    gio
    -0.72
    Runner
    -0.69
    eem
    -0.68
    iao
    -0.68
    POSITIVE LOGITS
     frustrated
    0.90
     mathemat
    0.88
     reliant
    0.83
     agitated
    0.83
     embold
    0.83
     millenn
    0.83
     enthusi
    0.82
     ende
    0.82
     challeng
    0.79
     demanding
    0.79
    Activations Density 0.013%

    No Known Activations