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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. 3-RES-JB
    11. 18461
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    Explanations

    phrases related to investigations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of investigations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Zip
    -0.72
    hop
    -0.70
    die
    -0.70
    yip
    -0.67
    cod
    -0.67
     rejoice
    -0.67
    mop
    -0.63
    ophe
    -0.63
    erent
    -0.62
     veto
    -0.62
    POSITIVE LOGITS
     Investigation
    0.88
     Investigations
    0.82
     Integrity
    0.79
     Probe
    0.73
     probing
    0.73
     Scientology
    0.72
     Relations
    0.72
    Merit
    0.70
     Investigative
    0.70
    Invest
    0.69
    Activations Density 0.046%

    No Known Activations