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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. 3738
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    Explanations

    references to power sources and energy production

    oai_token-act-pair · gpt-3.5-turbo

    information related to energy production and resources

    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
    inventoryQuantity
    -0.86
     methodological
    -0.77
    pmwiki
    -0.76
    cknow
    -0.73
     disav
    -0.69
    zsche
    -0.68
     coward
    -0.66
     Method
    -0.66
    chance
    -0.66
     parentheses
    -0.66
    POSITIVE LOGITS
     purposes
    0.90
     fleets
    0.87
     astronauts
    0.86
     operations
    0.84
     fleet
    0.83
    ineries
    0.80
     occupants
    0.78
     satellites
    0.78
     enterprises
    0.76
     trains
    0.75
    Activations Density 0.652%

    No Known Activations