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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. 3-RES-JB
    11. 18217
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    INDEX
    Explanations

    documents where specific words related to waste, disposal, or cleanliness are mentioned

    oai_token-act-pair · gpt-3.5-turbo

    references to waste or garbage, including its various mentions and contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    saf
    -0.82
    ghai
    -0.81
    ffield
    -0.78
    akening
    -0.78
    ationally
    -0.76
    orney
    -0.74
    RL
    -0.74
    cies
    -0.72
    inel
    -0.70
    sole
    -0.70
    POSITIVE LOGITS
     dumps
    1.05
     garbage
    1.05
    bags
    0.97
     disposal
    0.96
     bags
    0.96
    bag
    0.91
    bage
    0.90
     cans
    0.90
     heap
    0.89
     inciner
    0.87
    Activations Density 0.007%

    No Known Activations