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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. 22016
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and their associated titles or roles

    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
    pport
    -0.78
     conver
    -0.75
     taxing
    -0.66
     rigged
    -0.66
     visas
    -0.64
     traps
    -0.64
     kits
    -0.64
     misunder
    -0.64
     constraints
    -0.63
     overwhelming
    -0.63
    POSITIVE LOGITS
     Jr
    1.41
     Sr
    1.17
     PhD
    1.12
     MD
    1.04
     Editor
    0.97
    Jr
    0.96
     Founder
    0.94
     Photographer
    0.94
     Writer
    0.92
     aka
    0.91
    Activations Density 0.165%

    No Known Activations