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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. 8871
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    Explanations

    information related to classified documents

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "classified" related to sensitive information

    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
    Not in Any Lists

    No Comments

    Negative Logits
    LV
    -0.79
    vous
    -0.77
    Wave
    -0.75
    issance
    -0.74
     Vij
    -0.69
     Bale
    -0.69
    oller
    -0.67
    Jer
    -0.66
     Rutherford
    -0.65
    kj
    -0.65
    POSITIVE LOGITS
     briefings
    0.97
     classified
    0.96
    classified
    0.94
     classify
    0.86
    iaries
    0.84
     markings
    0.81
     newsp
    0.79
     papers
    0.79
    oslov
    0.78
    CLASSIFIED
    0.76
    Activations Density 0.008%

    No Known Activations