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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. 1-RES-JB
    6. 15142
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    Explanations

    keywords related to intensity or importance

    oai_token-act-pair · gpt-3.5-turbo

    words related to visual imagery and nuclear topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çĦ
    -0.70
    slot
    -0.65
    OTOS
    -0.63
    ILL
    -0.61
     clipboard
    -0.61
    gone
    -0.61
    skirts
    -0.59
     McMaster
    -0.58
    Discover
    -0.57
     Clarks
    -0.56
    POSITIVE LOGITS
    ivid
    1.34
    itri
    0.98
    escent
    0.93
    terness
    0.91
     agre
    0.87
    itives
    0.83
    itionally
    0.82
    atives
    0.81
    uation
    0.81
    gments
    0.79
    Activations Density 0.009%

    No Known Activations