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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 12337
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    Explanations

    words related to exception or differentiation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate exceptions or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ANS
    -0.89
    dayName
    -0.77
    avan
    -0.74
    nown
    -0.70
    ahead
    -0.70
    accompan
    -0.69
    arna
    -0.69
    ans
    -0.67
    DOWN
    -0.65
    rait
    -0.64
    POSITIVE LOGITS
     occasional
    0.87
     occasionally
    0.79
     sporadic
    0.72
     superficial
    0.72
     those
    0.71
     briefly
    0.69
     anecdotal
    0.69
     anecd
    0.69
     mater
    0.68
     spor
    0.66
    Activations Density 0.048%

    No Known Activations