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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. 10-RES-JB
    6. 3311
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    terms related to rights, advocacy, and ethics

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ||||
    -0.87
    lihood
    -0.76
    Interstitial
    -0.75
    ificate
    -0.71
     ç¥ŀ
    -0.70
    arantine
    -0.69
    onement
    -0.69
    yss
    -0.68
    Footnote
    -0.66
    achment
    -0.65
    POSITIVE LOGITS
     experts
    1.71
     analysts
    1.53
     expert
    1.48
     specialists
    1.44
     analyst
    1.41
     campaigners
    1.38
     researcher
    1.36
     advocates
    1.35
     observers
    1.32
     activists
    1.30
    Activations Density 0.285%

    No Known Activations