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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    mentions of the word "Les"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Les."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oted
    -0.74
    serving
    -0.71
    ÃĽÃĽ
    -0.70
    ãĥ¼ãĥĨãĤ£
    -0.70
    perial
    -0.70
    ICE
    -0.69
    ITED
    -0.69
    razil
    -0.69
    ãĥĥãĥĪ
    -0.67
    OWS
    -0.66
    POSITIVE LOGITS
    bians
    1.17
    bian
    0.94
     Les
    0.83
    nar
    0.83
    leys
    0.80
    bourg
    0.80
    lim
    0.80
    alog
    0.78
    ukemia
    0.76
    wana
    0.76
    Activations Density 0.007%

    No Known Activations