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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. 14368
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    Explanations

    terms related to priority or order, such as "first-come, first-served."

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to rules or systems for allocation or service

    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
     intrins
    -0.74
    ciating
    -0.71
    ernels
    -0.68
    NUM
    -0.67
    utherford
    -0.63
     enthusi
    -0.62
    BALL
    -0.61
    ATIONAL
    -0.61
    ipel
    -0.60
    akuya
    -0.59
    POSITIVE LOGITS
    eret
    0.65
     Rails
    0.64
     forgiven
    0.64
     served
    0.62
     fishes
    0.61
    ãĥīãĥ©
    0.61
     lett
    0.61
     Means
    0.60
     Play
    0.59
    ycle
    0.57
    Activations Density 0.133%

    No Known Activations