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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. 10-RES-JB
    6. 3861
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    Explanations

    words related to persistence or continuous actions

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals and their actions or states in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     preferring
    -0.68
     Variant
    -0.67
     occurring
    -0.65
     understatement
    -0.64
     delaying
    -0.64
     guiName
    -0.62
    اÙĦ
    -0.61
    actionDate
    -0.61
     Aim
    -0.60
    holding
    -0.60
    POSITIVE LOGITS
     reaches
    1.10
     reach
    0.98
     expires
    0.97
     finally
    0.95
     sufficiently
    0.86
     exhaustion
    0.85
     reached
    0.85
     completes
    0.84
     expire
    0.83
     finishes
    0.80
    Activations Density 0.099%

    No Known Activations