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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. 10-RES-JB
    6. 24515
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    INDEX
    Explanations

    phrases indicating exceptions or distinctions

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the notion of inclusivity or universality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    limit
    -0.65
    ĪĴ
    -0.59
    :{
    -0.58
    ¸
    -0.58
    nel
    -0.57
    nant
    -0.56
    ¾
    -0.56
    dayName
    -0.56
     Kund
    -0.55
    ²¾
    -0.55
    POSITIVE LOGITS
    ocating
    0.90
    iance
    0.83
    iances
    0.77
    igators
    0.77
    ocate
    0.76
    ocations
    0.76
    ones
    0.76
    uring
    0.74
    usions
    0.74
    ocation
    0.71
    Activations Density 0.058%

    No Known Activations