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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 773
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    Explanations

    mentions of various forms of art

    oai_token-act-pair · gpt-3.5-turbo

    references to art and artistic expressions

    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
    •Art-related Features

    No Comments

    Negative Logits
     htt
    -0.73
     XT
    -0.70
    KI
    -0.67
     DN
    -0.67
     Nets
    -0.65
     Ans
    -0.63
     Luxem
    -0.62
     sshd
    -0.62
     Tide
    -0.61
     Isles
    -0.60
    POSITIVE LOGITS
    istry
    1.67
    isans
    1.65
    ifice
    1.50
    emis
    1.47
    illery
    1.36
    esian
    1.35
    works
    1.33
    ifacts
    1.29
    ificial
    1.22
    isan
    1.21
    Activations Density 0.051%

    No Known Activations