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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. 9142
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    Explanations

    mentions of inspectors, particularly inspector generals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of inspectors and their roles

    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
    theless
    -0.81
    emonic
    -0.75
    erry
    -0.74
    Snow
    -0.72
    erman
    -0.72
    yss
    -0.69
    nown
    -0.69
    ozy
    -0.67
     laure
    -0.66
    jri
    -0.66
    POSITIVE LOGITS
     inspection
    0.85
     inspected
    0.78
     inspector
    0.78
     inspections
    0.77
     audit
    0.76
     Inspection
    0.73
     probe
    0.73
    urger
    0.71
     probing
    0.70
     inspectors
    0.70
    Activations Density 0.083%

    No Known Activations