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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. 10-RES-JB
    11. 12169
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    Explanations

    computer-related terms and code snippets referencing software and technology

    oai_token-act-pair · gpt-3.5-turbo

    references to citation formats and bibliographic elements

    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
    istor
    -0.83
    hower
    -0.82
    enza
    -0.80
    allery
    -0.79
    yip
    -0.78
    ierre
    -0.78
    english
    -0.78
    qqa
    -0.78
    yre
    -0.77
    abase
    -0.77
    POSITIVE LOGITS
     norms
    0.55
     exerted
    0.54
     milit
    0.52
     facts
    0.52
     tendencies
    0.51
     committing
    0.51
     observation
    0.51
     antiv
    0.51
     veh
    0.50
     imb
    0.49
    Activations Density 0.249%

    No Known Activations