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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. 9-RES-JB
    11. 4194
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    INDEX
    Explanations

    age-related descriptive phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to animal welfare and incidents involving pets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ynthesis
    -0.89
    Leaks
    -0.84
    piration
    -0.80
    nces
    -0.74
    inventoryQuantity
    -0.73
    SOURCE
    -0.72
    Statement
    -0.72
     havens
    -0.72
    istries
    -0.71
    leans
    -0.71
    POSITIVE LOGITS
     chickens
    1.23
     goats
    1.19
     dogs
    1.19
     rabbits
    1.17
     cows
    1.15
     deer
    1.14
     cattle
    1.13
     puppy
    1.13
     sheep
    1.13
     dog
    1.13
    Activations Density 0.834%

    No Known Activations