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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. 6-RES-JB
    11. 4184
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    Explanations

    phrases or sentences where an opinion or interpretation is expressed

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "take" and its derivatives across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    miah
    -0.88
    unts
    -0.87
     Zup
    -0.78
    nces
    -0.73
    glomer
    -0.73
    reek
    -0.72
    gur
    -0.72
    bench
    -0.71
    bp
    -0.71
    pent
    -0.71
    POSITIVE LOGITS
     fame
    0.88
     madness
    0.81
     Camel
    0.81
     Wonderland
    0.80
     immortality
    0.77
     largeDownload
    0.72
     hostilities
    0.72
     consciousness
    0.70
     semantics
    0.69
     heroism
    0.68
    Activations Density 0.233%

    No Known Activations