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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. 1-RES-JB
    11. 5380
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    Explanations

    phrases related to time or sequence

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating conditional statements and contextual relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bryce
    -0.74
    pan
    -0.73
    Ingredients
    -0.70
    âĹ¼
    -0.70
    Enlarge
    -0.68
    osal
    -0.68
    framework
    -0.67
    tones
    -0.66
    tnc
    -0.63
    market
    -0.62
    POSITIVE LOGITS
    ortunately
    0.98
    anwhile
    0.87
    theless
    0.85
     downside
    0.73
     moreover
    0.73
    nces
    0.72
     Aires
    0.72
     caveats
    0.71
     furthermore
    0.71
    hemy
    0.70
    Activations Density 3.714%

    No Known Activations