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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. 7-RES-JB
    6. 4452
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    Explanations

    terms related to web requests and server responses

    oai_token-act-pair · gpt-3.5-turbo

    terms related to HTTP requests and responses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.80
    conservancy
    -0.76
    amba
    -0.68
    uxe
    -0.63
    wagen
    -0.63
    ajor
    -0.62
    aws
    -0.62
     kosher
    -0.61
    orem
    -0.61
    orpor
    -0.60
    POSITIVE LOGITS
    Maker
    0.93
    orial
    0.86
    maker
    0.83
    book
    0.82
    telling
    0.79
    making
    0.78
    eering
    0.78
    uary
    0.76
    able
    0.76
    ings
    0.75
    Activations Density 0.481%

    No Known Activations