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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. 1-RES-JB
    6. 4613
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    INDEX
    Explanations

    instances of the abbreviation "FF" with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific product or service labeled as "FF"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ongs
    -0.76
    hee
    -0.76
     Emin
    -0.73
    Parameters
    -0.73
    ging
    -0.71
    arcer
    -0.68
    ifact
    -0.68
    ogy
    -0.66
    ittle
    -0.66
     Lump
    -0.66
    POSITIVE LOGITS
    ORTS
    0.76
    thur
    0.72
     Tire
    0.72
    ero
    0.71
    adan
    0.69
    ieri
    0.69
    omon
    0.67
    oute
    0.66
    HM
    0.66
    asher
    0.66
    Activations Density 0.032%

    No Known Activations