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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. 3-RES-JB
    6. 7459
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    INDEX
    Explanations

    words related to intensity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "sense" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orders
    -0.67
    swick
    -0.65
    atta
    -0.65
    Accessory
    -0.65
    OGR
    -0.63
    oths
    -0.63
    ODUCT
    -0.63
    amous
    -0.63
    amar
    -0.61
    available
    -0.61
    POSITIVE LOGITS
    mble
    2.00
    ense
    1.00
    ly
    0.92
    entimes
    0.83
    iture
    0.82
    cre
    0.80
    ENSE
    0.71
    lihood
    0.68
    enses
    0.65
     Ratio
    0.64
    Activations Density 0.013%

    No Known Activations