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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. 4-RES-JB
    11. 10733
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    Explanations

    instructions or requests directly addressed to the speaker

    oai_token-act-pair · gpt-3.5-turbo

    phrases that involve personal experience or direct communication

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

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.84
    phrine
    -0.73
    hement
    -0.69
    aneous
    -0.68
     Wikimedia
    -0.67
    ikan
    -0.64
    ITED
    -0.63
    erves
    -0.62
    arious
    -0.61
     Nicotine
    -0.61
    POSITIVE LOGITS
     goodbye
    0.84
    auga
    0.75
     daughters
    0.70
    selves
    0.69
    DERR
    0.66
    sheet
    0.63
     why
    0.63
     how
    0.63
    piece
    0.61
     anecd
    0.61
    Activations Density 0.117%

    No Known Activations