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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. 2969
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    Explanations

    proper nouns specifically including names like "Jim"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Jim."

    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
    Constructed
    -0.72
    BOOK
    -0.69
     subsequ
    -0.67
     behold
    -0.67
    uve
    -0.66
     selective
    -0.65
     butterflies
    -0.65
    ylum
    -0.63
    thening
    -0.61
     livest
    -0.61
    POSITIVE LOGITS
    enez
    1.45
    mie
    1.36
    iny
    1.02
    bo
    1.02
     Crow
    0.89
    inez
    0.86
    bling
    0.84
    bles
    0.81
    bell
    0.80
     Miliband
    0.80
    Activations Density 0.014%

    No Known Activations