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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. 1-RES-JB
    11. 10362
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    Explanations

    names of individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.82
    igham
    -0.79
    ittal
    -0.79
    daq
    -0.73
    ulic
    -0.73
     livest
    -0.72
    itism
    -0.70
    essage
    -0.70
     Corvette
    -0.70
     Proced
    -0.70
    POSITIVE LOGITS
    arte
    1.01
     Shu
    0.91
    Ku
    0.82
    FO
    0.81
    XY
    0.80
    ãĤ«
    0.80
     Uri
    0.79
    olkien
    0.78
    KEN
    0.75
    ARGET
    0.74
    Activations Density 0.029%

    No Known Activations