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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. 8-RES-JB
    6. 18003
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    INDEX
    Explanations

    proper nouns, specifically names of locations and organizations

    oai_token-act-pair · gpt-3.5-turbo

    names of places or notable entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PDATE
    -0.81
     Adin
    -0.74
    PsyNetMessage
    -0.71
     referen
    -0.71
    displayText
    -0.65
     Enrique
    -0.64
    ĸļ
    -0.63
    Bloomberg
    -0.63
     Sina
    -0.62
     advant
    -0.61
    POSITIVE LOGITS
     Productions
    1.14
     Studios
    1.05
     Farms
    0.94
     Syndrome
    0.93
    atoes
    0.92
     Records
    0.84
     Laboratories
    0.84
     Brewery
    0.84
     Orchestra
    0.82
     Massacre
    0.81
    Activations Density 0.367%

    No Known Activations