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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. 7174
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    Explanations

    first-person pronouns and phrases related to personal experiences and beliefs

    oai_token-act-pair · gpt-3.5-turbo
    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
     Consortium
    -0.74
     Gad
    -0.64
     Rubio
    -0.60
    tnc
    -0.59
    earch
    -0.59
    ileaks
    -0.58
    lihood
    -0.58
    ses
    -0.57
     Millennium
    -0.57
     Mund
    -0.57
    POSITIVE LOGITS
    'm
    1.39
    've
    1.26
    'll
    1.13
    'd
    1.00
     am
    0.94
     intend
    0.92
     owe
    0.91
    ronic
    0.89
     hope
    0.89
     suppose
    0.89
    Activations Density 0.379%

    No Known Activations