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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. 10-RES-JB
    11. 10576
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    Explanations

    lists of items or objects

    oai_token-act-pair · gpt-3.5-turbo

    items related to shopping or personal possessions

    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
    imilation
    -0.78
    obia
    -0.77
    itism
    -0.76
    ablishment
    -0.72
    inventoryQuantity
    -0.71
    ablished
    -0.69
    ¥µ
    -0.69
    population
    -0.69
    Attempts
    -0.69
    Ranked
    -0.69
    POSITIVE LOGITS
     scissors
    1.30
     gloves
    1.18
     goggles
    1.18
     compass
    1.17
     tripod
    1.17
     charger
    1.13
     assorted
    1.11
     accessories
    1.10
     flashlight
    1.10
     socks
    1.10
    Activations Density 0.385%

    No Known Activations