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    1. Home
    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. 16229
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    Explanations

    numerical values or quantities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number "2" in various contexts

    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
    rolet
    -0.77
    £ı
    -0.64
     Lauder
    -0.63
     swearing
    -0.62
    actionDate
    -0.61
    Ĥİ
    -0.60
     Fas
    -0.58
     sacked
    -0.57
     woo
    -0.57
     Maced
    -0.56
    POSITIVE LOGITS
    ½
    1.05
    nd
    0.96
    200
    0.93
    WD
    0.92
    500
    0.91
    ND
    0.90
    rd
    0.89
    DS
    0.88
    DO
    0.86
    ÃĹ
    0.85
    Activations Density 0.176%

    No Known Activations