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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. 7-RES-JB
    6. 5851
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    Explanations

    phrases indicating requirements or instructions

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing necessity or requirements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ń·
    -0.64
     Democr
    -0.63
     Dism
    -0.62
     delinqu
    -0.62
    crime
    -0.60
    terness
    -0.60
     Sounds
    -0.59
    berra
    -0.58
     Pill
    -0.58
    emies
    -0.57
    POSITIVE LOGITS
    lessly
    1.17
    nces
    0.77
     convincing
    0.72
    xus
    0.71
    OTH
    0.68
     patience
    0.67
    ache
    0.67
    esome
    0.67
     assistance
    0.67
     accommodations
    0.66
    Activations Density 0.060%

    No Known Activations