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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. 8-RES-JB
    11. 12345
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    Explanations

    phrases indicating an outcome or consequence

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "end up" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    the word "up" after a verb (e.g. 'ends up', 'winds up')

    Explanation Uploaded by User
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    grass
    -0.70
     Surge
    -0.62
     Growth
    -0.59
     Wire
    -0.58
    ongyang
    -0.58
    cut
    -0.58
     assurance
    -0.57
     Intelligent
    -0.57
     Inqu
    -0.57
     Awareness
    -0.56
    POSITIVE LOGITS
     deleting
    0.86
     owning
    0.86
     settling
    0.83
     needing
    0.83
     being
    0.82
     getting
    0.82
     having
    0.79
     costing
    0.77
     hurting
    0.77
     marrying
    0.76
    Activations Density 0.032%

    No Known Activations