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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. 8-RES-JB
    6. 5848
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    Explanations

    words related to actions or processes that can be done correctly or appropriately

    oai_token-act-pair · gpt-3.5-turbo

    actions related to implementation, usage, and application of various concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    paio
    -0.67
     Vaughan
    -0.65
    ibur
    -0.62
    ajo
    -0.61
    ahoo
    -0.60
     Baal
    -0.59
    govtrack
    -0.59
     Flavoring
    -0.58
     Vie
    -0.58
    whatever
    -0.57
    POSITIVE LOGITS
     properly
    1.07
     correctly
    0.97
     individually
    0.79
     incorrectly
    0.75
     appropriately
    0.70
     exceeds
    0.69
     improperly
    0.69
     unchecked
    0.68
    ividually
    0.67
     happens
    0.66
    Activations Density 0.114%

    No Known Activations