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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. 10-RES-JB
    6. 3790
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    INDEX
    Explanations

    Occurrences of words related to legal actions and infractions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to obstruction and contempt in legal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ted
    -0.99
    ting
    -0.97
    nir
    -0.90
    mint
    -0.87
    ed
    -0.86
    makers
    -0.83
    ded
    -0.83
    din
    -0.83
    anism
    -0.82
    rooms
    -0.81
    POSITIVE LOGITS
    uments
    1.07
    uous
    1.01
    uously
    0.93
    kefeller
    0.89
    uity
    0.82
     Creed
    0.81
     Rift
    0.78
    atus
    0.71
    osity
    0.69
    ¯¯¯¯
    0.69
    Activations Density 0.071%

    No Known Activations