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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. 0-RES-JB
    11. 15120
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    Explanations

    classified information and documents

    oai_token-act-pair · gpt-3.5-turbo

    references to classified information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    axe
    -0.75
    ovsky
    -0.69
    oning
    -0.64
    Fix
    -0.64
    onne
    -0.63
    oin
    -0.61
    ixie
    -0.61
    erity
    -0.61
    Joy
    -0.60
    ï¸ı
    -0.60
    POSITIVE LOGITS
     classified
    3.86
    classified
    2.57
     categorized
    1.99
     classify
    1.80
     classification
    1.76
     declass
    1.53
     Classification
    1.48
     confidential
    1.31
     categor
    1.30
     coded
    1.24
    Activations Density 0.019%

    No Known Activations