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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. 2140
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    Explanations

    string patterns resembling numerical data in the format of digits separated by spaces or commas

    oai_token-act-pair · gpt-3.5-turbo

    numeric data and statistics

    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
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    Negative Logits
    姫
    -0.88
    lehem
    -0.74
    éĹĺ
    -0.73
    DragonMagazine
    -0.71
     Vaugh
    -0.71
    emis
    -0.68
    Downloadha
    -0.65
    é¾įå¥ij士
    -0.64
    iterranean
    -0.64
    romeda
    -0.64
    POSITIVE LOGITS
    RB
    0.63
    unt
    0.60
    LAN
    0.59
     Azure
    0.58
     mana
    0.55
     RBI
    0.53
    ourney
    0.53
    ½
    0.53
     jungle
    0.53
    akedown
    0.53
    Activations Density 0.129%

    No Known Activations