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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 21647
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    keywords related to various forms of art

    oai_token-act-pair · gpt-3.5-turbo

    references to visual art

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     htt
    -0.84
     XT
    -0.75
     Luxem
    -0.73
     Isles
    -0.67
    odder
    -0.66
     sshd
    -0.65
     Tide
    -0.62
     Witnesses
    -0.62
     Ans
    -0.62
     Nets
    -0.61
    POSITIVE LOGITS
    istry
    1.71
    isans
    1.63
    ifice
    1.54
    emis
    1.49
    esian
    1.37
    works
    1.36
    illery
    1.34
    ifacts
    1.30
    ificial
    1.18
    isan
    1.16
    Activations Density 0.034%

    No Known Activations