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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. 15273
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    oai_token-act-pair · gpt-3.5-turbo

    periods at the end of sentences

    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
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    Negative Logits
     challeng
    -0.73
     predec
    -0.70
     mosqu
    -0.65
     withd
    -0.63
     hammered
    -0.61
     proport
    -0.61
     metic
    -0.59
    itaire
    -0.59
     unemployed
    -0.59
    uly
    -0.59
    POSITIVE LOGITS
     However
    0.90
     Unfortunately
    0.86
     Whether
    0.81
     Please
    0.81
     Therefore
    0.80
     They
    0.80
     Fortunately
    0.79
     Though
    0.79
     There
    0.79
     Also
    0.79
    Activations Density 1.239%

    No Known Activations