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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. 18465
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    Explanations

    URLs with the pattern "lexiecanne" and related keywords or phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to specific entities, likely related to people, companies, or brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    cliffe
    -0.70
    kefeller
    -0.66
    bent
    -0.64
    yip
    -0.63
    erto
    -0.61
    FML
    -0.59
    coat
    -0.58
    ctl
    -0.58
     robbers
    -0.56
     soap
    -0.56
    POSITIVE LOGITS
    uria
    0.72
    umeric
    0.59
    ioxide
    0.57
    rette
    0.57
    ãĤ¢
    0.56
    amiya
    0.56
    thirds
    0.55
    iffin
    0.55
     Rails
    0.55
    ãĥī
    0.54
    Activations Density 0.351%

    No Known Activations