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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 17880
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    Explanations

    webpage elements such as links, buttons, and loading indicators

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "like" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gat
    -0.79
    clus
    -0.71
    ¶
    -0.67
    bang
    -0.64
    paces
    -0.62
    ĵĺ
    -0.62
    aryn
    -0.60
    olini
    -0.59
    cale
    -0.57
    gew
    -0.57
    POSITIVE LOGITS
    azo
    0.77
    ribly
    0.61
     Email
    0.61
     Processor
    0.60
     });
    0.59
     Column
    0.59
    duction
    0.58
    Privacy
    0.57
     LinkedIn
    0.57
    iola
    0.56
    Activations Density 0.094%

    No Known Activations