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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. 19508
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    Explanations

    the word "ordinary" with varying degrees of emphasis on individuals or groups of people

    oai_token-act-pair · gpt-3.5-turbo

    references to "ordinary" individuals or groups, emphasizing their experiences and perspectives

    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
    asus
    -0.83
    rogram
    -0.78
    zik
    -0.72
    orah
    -0.72
    etheus
    -0.70
    arth
    -0.69
    etic
    -0.69
    conservancy
    -0.68
    wark
    -0.67
    ffer
    -0.66
    POSITIVE LOGITS
     mortals
    0.94
    ordinary
    0.90
     everyday
    0.82
    tons
    0.77
     ordinary
    0.75
    wealth
    0.73
     Fol
    0.72
     minded
    0.71
     decency
    0.71
    juries
    0.71
    Activations Density 0.034%

    No Known Activations