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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. 12-RES-JB
    6. 2447
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    INDEX
    Explanations

    text related to car features, such as speakers and grilles

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    words related to grading or texture, particularly in a culinary context

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     antioxid
    -0.69
    BALL
    -0.67
     Falling
    -0.67
     enthusi
    -0.64
     Kinnikuman
    -0.64
     Milk
    -0.62
     hospitality
    -0.60
    DEF
    -0.60
    æ©Ł
    -0.59
     Levi
    -0.59
    POSITIVE LOGITS
    illes
    1.25
    ills
    1.22
    iddles
    1.19
    iddle
    1.16
    ains
    1.14
    ille
    1.14
    inder
    1.11
    iddled
    1.07
    inders
    1.04
    ated
    1.04
    Activations Density 0.099%

    No Known Activations