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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. 8563
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    Explanations

    mentions of various locations, numerical values or measurements, and physical attributes

    oai_token-act-pair · gpt-3.5-turbo

    empty or undefined tokens

    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
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    Negative Logits
     Seym
    -0.75
     advoc
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    oufl
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     Vaugh
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     vulner
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    erenn
    -0.66
     comprom
    -0.64
    avorite
    -0.63
     helicop
    -0.61
    æ©
    -0.60
    POSITIVE LOGITS
     largeDownload
    0.75
    Ĥİ
    0.64
     Caption
    0.60
    erville
    0.59
     Zombies
    0.58
    ctive
    0.57
     nutshell
    0.56
    olin
    0.56
     Robots
    0.56
     Context
    0.55
    Activations Density 0.177%

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