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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 9070
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    INDEX
    Explanations

    information related to emails, particularly their content and recipients

    oai_token-act-pair · gpt-3.5-turbo

    references to leaked emails and communications

    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
    iol
    -0.76
    udic
    -0.76
     Trials
    -0.68
    PI
    -0.66
     Coverage
    -0.66
     Flavoring
    -0.66
    iculture
    -0.64
    ivia
    -0.63
    ovy
    -0.63
    enment
    -0.63
    POSITIVE LOGITS
     messages
    0.99
     Messages
    0.89
     dated
    0.88
     overheard
    0.88
     messaging
    0.87
     relayed
    0.83
     handwritten
    0.81
     communications
    0.81
    dated
    0.80
     circulated
    0.80
    Activations Density 0.289%

    No Known Activations