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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. 1238
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    Explanations

    references to fingerprint-based background checks and security measures

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to government and regulatory measures

    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
     Engels
    -0.81
    iatus
    -0.76
    fell
    -0.75
     Verse
    -0.75
    warm
    -0.74
     Lov
    -0.74
     sermon
    -0.73
    cast
    -0.72
     Brees
    -0.72
    church
    -0.72
    POSITIVE LOGITS
     scanners
    1.83
     TSA
    1.66
     scanner
    1.52
     fingerprint
    1.51
     screening
    1.50
     checkpoints
    1.42
     scanning
    1.35
     checkpoint
    1.33
     screenings
    1.32
     fingerprints
    1.31
    Activations Density 0.353%

    No Known Activations