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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. 8-RES-JB
    6. 3667
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urat
    -0.83
    ortium
    -0.81
    odan
    -0.80
    hov
    -0.80
    llan
    -0.79
    gerald
    -0.77
    lda
    -0.75
    Newsletter
    -0.75
    sonian
    -0.74
    yi
    -0.74
    POSITIVE LOGITS
    ized
    1.56
    ization
    1.51
    izing
    1.46
    ised
    1.35
    ists
    1.28
    ities
    1.28
    ism
    1.26
    ize
    1.26
    izations
    1.21
    izes
    1.21
    Activations Density 0.102%

    No Known Activations