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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. 5-RES-JB
    6. 980
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    INDEX
    Explanations

    words related to motor functions or motor vehicles

    oai_token-act-pair · gpt-3.5-turbo

    references to "motor" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Michaels
    -0.76
     Foley
    -0.72
     Carbuncle
    -0.71
     Alibaba
    -0.70
     Aval
    -0.69
    ereo
    -0.68
     Osiris
    -0.68
     Dynasty
    -0.66
     Ming
    -0.66
     Caesar
    -0.65
    POSITIVE LOGITS
    bike
    1.36
    cycle
    1.14
    cycl
    1.10
    otor
    1.08
    chair
    1.05
    puter
    0.99
    wheel
    0.97
    boats
    0.97
    netic
    0.95
    boat
    0.91
    Activations Density 0.015%

    No Known Activations