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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. 4-RES-JB
    6. 21948
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    oai_token-act-pair · gpt-3.5-turbo

    phrases that express strong emotions or opinions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    itably
    -0.57
    ussian
    -0.56
    anwhile
    -0.54
     scatter
    -0.54
     dust
    -0.53
     scramble
    -0.52
     Samar
    -0.51
     Mayo
    -0.51
     staggered
    -0.50
     stagger
    -0.50
    POSITIVE LOGITS
    catentry
    0.84
    ¹
    0.78
    £
    0.72
    atures
    0.68
    bryce
    0.68
    ¬
    0.67
    į
    0.65
    ı
    0.64
    drivers
    0.63
    cipline
    0.63
    Activations Density 0.645%

    No Known Activations