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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. 1-RES-JB
    11. 367
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    Explanations

    descriptions of natural landscapes and environments

    oai_token-act-pair · gpt-3.5-turbo

    references to natural landscapes and settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fet
    -0.87
    interstitial
    -0.86
    uyomi
    -0.77
    inventoryQuantity
    -0.76
    oat
    -0.74
    headed
    -0.72
    gments
    -0.72
    ept
    -0.70
     fetal
    -0.69
    gment
    -0.68
    POSITIVE LOGITS
     countryside
    1.22
    enery
    1.00
     scenery
    0.89
     Compan
    0.80
    iage
    0.79
     Supplement
    0.72
    ãħĭ
    0.71
    æĺ
    0.70
    ãħĭãħĭ
    0.69
     Wildlife
    0.69
    Activations Density 0.021%

    No Known Activations