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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. 7-RES-JB
    11. 19418
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    Explanations

    phrases containing a specific word "ris" followed by a number indicating importance or intensity

    oai_token-act-pair · gpt-3.5-turbo

    references to "ris," likely indicating a focus on the concept of risk in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    erest
    -0.72
    owners
    -0.68
    erm
    -0.67
    è¦ļéĨĴ
    -0.65
    resso
    -0.64
    ļé
    -0.63
    selves
    -0.62
     rites
    -0.62
    iliary
    -0.62
     EntityItem
    -0.60
    POSITIVE LOGITS
    py
    1.03
    sey
    0.91
    ques
    0.91
    kell
    0.91
    coe
    0.88
    pect
    0.88
    ps
    0.82
    pent
    0.82
    olate
    0.81
    stal
    0.81
    Activations Density 0.054%

    No Known Activations