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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
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    Explanations

    mentions of Intel Xeon processors

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific computer processor models

    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
    ships
    -0.97
    ship
    -0.83
    oro
    -0.81
    fur
    -0.78
    mallow
    -0.77
    mented
    -0.75
    inals
    -0.75
    bender
    -0.74
    aldi
    -0.73
    girls
    -0.72
    POSITIVE LOGITS
     lapse
    0.77
    umbers
    0.76
    CVE
    0.75
    ieves
    0.74
    tera
    0.71
    sis
    0.71
    xual
    0.71
    arios
    0.70
    ternal
    0.69
    cible
    0.67
    Activations Density 0.038%

    No Known Activations