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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. 3-RES-JB
    11. 18145
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    Explanations

    alphanumeric sequences composed of numbers and letters that resemble technical specifications or measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or statistics related to measurements and quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orc
    -0.81
    ensional
    -0.80
    orah
    -0.71
    oard
    -0.71
    bara
    -0.71
    bler
    -0.70
    mond
    -0.69
    bell
    -0.69
    hol
    -0.68
    oning
    -0.68
    POSITIVE LOGITS
    6666
    0.89
     ILCS
    0.76
     Flavoring
    0.74
    coni
    0.73
    MpServer
    0.72
    66666666
    0.69
    avorite
    0.68
    е
    0.67
    ISH
    0.67
    uese
    0.67
    Activations Density 0.021%

    No Known Activations