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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. 10456
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    INDEX
    Explanations

    statements or requests related to performing tasks or activities

    oai_token-act-pair · gpt-3.5-turbo

    requests for information or tasks related to inventory and job-related activities

    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
    apsed
    -0.71
     binge
    -0.68
    flation
    -0.68
     Gleaming
    -0.65
    juries
    -0.65
     inconsist
    -0.65
    inventoryQuantity
    -0.64
     slump
    -0.62
     stagn
    -0.61
     Recession
    -0.61
    POSITIVE LOGITS
     preferably
    1.17
     request
    0.98
     feasibility
    0.97
     proposal
    0.93
     requesting
    0.89
     ASAP
    0.87
     please
    0.87
    igslist
    0.86
     Ideally
    0.84
    soDeliveryDate
    0.84
    Activations Density 0.745%

    No Known Activations