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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. 11-RES-JB
    11. 7789
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    Explanations

    specific requirements or instructions

    oai_token-act-pair · gpt-3.5-turbo

    requirements and stipulations in a formal or regulatory context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.69
     ruining
    -0.68
    holes
    -0.65
    asi
    -0.63
    soType
    -0.62
    DERR
    -0.62
    ubi
    -0.61
     Learns
    -0.61
    姫
    -0.60
    ãĤ®
    -0.60
    POSITIVE LOGITS
     comply
    1.20
     adhere
    1.16
     be
    1.15
     meet
    1.09
     conform
    1.07
     specify
    1.06
     abide
    1.05
     consist
    1.04
     satisfy
    1.00
     contain
    0.97
    Activations Density 0.107%

    No Known Activations