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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. 8061
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    Explanations

    phrases containing adverbs that emphasize the intensity or degree of something

    oai_token-act-pair · gpt-3.5-turbo

    the word "highly" and its associated context indicating intensity or significance

    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
    ppo
    -0.75
     Sins
    -0.74
     Dare
    -0.74
    ories
    -0.73
     Carnage
    -0.73
    mere
    -0.73
     Landing
    -0.72
     Ashe
    -0.70
     Farmers
    -0.70
     Parenthood
    -0.69
    POSITIVE LOGITS
     unlikely
    0.93
     regarded
    0.93
     influential
    0.88
     interconnected
    0.87
     rated
    0.86
     intelligent
    0.86
     informative
    0.85
     insulated
    0.85
     tuned
    0.84
     enough
    0.84
    Activations Density 0.010%

    No Known Activations