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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5364
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    Explanations

    specific programming terms and actions related to coding functions and logic

    oai_token-act-pair · gpt-3.5-turbo

    programming concepts related to functions and their inputs/outputs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    20439
    -0.96
    soever
    -0.78
    CLASSIFIED
    -0.72
    aeda
    -0.70
    OSH
    -0.69
    ortment
    -0.67
    aucuses
    -0.66
    uminati
    -0.65
    ADA
    -0.65
    emale
    -0.64
    POSITIVE LOGITS
    _
    0.90
    ['
    0.82
     !=
    0.78
     ==
    0.77
    ["
    0.73
     +=
    0.73
    obj
    0.72
     =>
    0.71
    Value
    0.70
    Dir
    0.70
    Activations Density 0.114%

    No Known Activations