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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. 1214
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    Explanations

    words related to specific names and locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names and terms related to people and places

    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
     willingness
    -0.65
     shelf
    -0.63
     shelves
    -0.63
    HOME
    -0.62
     sky
    -0.61
     point
    -0.60
    prints
    -0.60
     slick
    -0.60
     rolling
    -0.59
     beacon
    -0.59
    POSITIVE LOGITS
    riv
    1.36
    ilege
    1.09
    icz
    0.97
    loo
    0.86
    ulously
    0.85
    abulary
    0.85
    atical
    0.84
    itives
    0.83
    anium
    0.83
    PLIC
    0.83
    Activations Density 0.007%

    No Known Activations