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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. 9307
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    Explanations

    terms related to security measures, incidents involving security forces, and locations under heightened security scrutiny

    oai_token-act-pair · gpt-3.5-turbo

    mentions of security measures and concerns

    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
    oric
    -0.82
    igible
    -0.77
    omorphic
    -0.72
    thritis
    -0.71
    liam
    -0.70
    arget
    -0.66
    phrine
    -0.66
    lihood
    -0.65
    yss
    -0.65
    bilt
    -0.65
    POSITIVE LOGITS
     guards
    1.19
     checkpoints
    1.04
     guard
    1.04
     clearance
    1.03
     personnel
    0.97
     forces
    0.96
     precautions
    0.94
     screenings
    0.93
     measures
    0.93
     cameras
    0.90
    Activations Density 0.046%

    No Known Activations