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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. 2-RES-JB
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    Explanations

    references to surveillance activities and equipment

    oai_token-act-pair · gpt-3.5-turbo

    mentions of surveillance and eavesdropping activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hesis
    -0.91
    enz
    -0.76
    esc
    -0.74
    soDeliveryDate
    -0.66
    escent
    -0.64
    shake
    -0.63
    cius
    -0.62
     slic
    -0.62
     aspir
    -0.61
     APPLIC
    -0.61
    POSITIVE LOGITS
    asures
    0.99
    ippi
    0.98
    asure
    0.90
    asuring
    0.78
     Palace
    0.78
    ilib
    0.74
    odies
    0.73
    ãĥĥãĥĪ
    0.71
    raltar
    0.71
    ãĤ´ãĥ³
    0.69
    Activations Density 0.028%

    No Known Activations