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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. 23400
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    INDEX
    Explanations

    keywords related to computer storage devices, particularly disks

    oai_token-act-pair · gpt-3.5-turbo

    mentions of disk storage and related technologies

    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
    yip
    -1.00
    uyomi
    -0.79
    adesh
    -0.75
    ADRA
    -0.74
    terday
    -0.73
    ammad
    -0.72
    ean
    -0.71
    ħĭ
    -0.70
    ndum
    -0.70
    pheus
    -0.69
    POSITIVE LOGITS
    Disk
    1.00
    ussion
    0.94
    ettes
    0.93
    disk
    0.93
     disks
    0.92
     disk
    0.86
    ette
    0.80
    Station
    0.79
    label
    0.79
    raft
    0.73
    Activations Density 0.011%

    No Known Activations