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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 16690
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    Explanations

    the word "really" with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers emphasizing the word "really."

    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
    antry
    -0.89
    icipated
    -0.78
    illary
    -0.71
    heid
    -0.69
    ysical
    -0.67
     Receiver
    -0.66
    raged
    -0.64
    enary
    -0.64
    arian
    -0.64
     Purchase
    -0.64
    POSITIVE LOGITS
     darn
    0.84
     nice
    0.84
     neat
    0.81
     messed
    0.81
     interesting
    0.80
     cool
    0.80
     freaking
    0.80
     pissed
    0.78
     helpful
    0.78
     appreciated
    0.76
    Activations Density 0.054%

    No Known Activations