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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. 9-RES-JB
    11. 2954
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    Explanations

    sequences of numbers interspersed with abbreviations

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.69
    nesday
    -0.68
    enhagen
    -0.63
    enberg
    -0.60
    LEY
    -0.59
     transported
    -0.59
    WHERE
    -0.58
     meanwhile
    -0.58
     teenagers
    -0.58
    anners
    -0.57
    POSITIVE LOGITS
    Ïī
    0.68
    ophy
    0.68
    px
    0.67
    ocaly
    0.65
    ½
    0.64
    isode
    0.63
    α
    0.62
    Ïģ
    0.62
    opathy
    0.61
    е
    0.61
    Activations Density 0.136%

    No Known Activations