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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. 7-RES-JB
    11. 19520
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    INDEX
    Explanations

    mentions of undercover operations or agents

    oai_token-act-pair · gpt-3.5-turbo

    references to undercover operations and related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gran
    -0.75
    plex
    -0.75
     Pwr
    -0.74
    ð
    -0.73
    xit
    -0.72
    ogun
    -0.71
    ettle
    -0.68
    estone
    -0.68
    È
    -0.68
    oran
    -0.67
    POSITIVE LOGITS
     informant
    1.10
     undercover
    1.00
     informants
    0.94
     infiltr
    0.89
     mole
    0.88
     operatives
    0.85
     investigator
    0.84
     FBI
    0.80
     sting
    0.80
     detective
    0.79
    Activations Density 0.045%

    No Known Activations