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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. 5-RES-JB
    6. 7774
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    INDEX
    Explanations

    mentions of the brand "Cisco"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company Cisco

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chens
    -0.71
    chen
    -0.71
    abase
    -0.70
     Kurd
    -0.69
    icals
    -0.67
    hematic
    -0.65
    ilater
    -0.65
    hemat
    -0.64
    icularly
    -0.64
     captcha
    -0.63
    POSITIVE LOGITS
    ERT
    0.92
    leans
    0.89
    zar
    0.83
    kefeller
    0.83
    isco
    0.79
    onductor
    0.78
    ffe
    0.76
    eur
    0.76
    ffee
    0.76
    ilant
    0.74
    Activations Density 0.020%

    No Known Activations