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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
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    Explanations

    the phrase "so much."

    oai_token-act-pair · gpt-3.5-turbo

    the word "much," indicating discussions about abundance or intensity

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ²¾
    -0.77
    ħĭ
    -0.71
    Ħ¢
    -0.69
    Card
    -0.67
    pherd
    -0.65
     Brief
    -0.64
    Sem
    -0.64
    pload
    -0.63
    ulia
    -0.63
    byn
    -0.63
    POSITIVE LOGITS
     unanswered
    0.75
     emotion
    0.75
     hype
    0.73
     accol
    0.71
     conflicting
    0.71
     hoop
    0.70
    ouls
    0.68
    !!!!!!!!
    0.68
     crap
    0.67
    bang
    0.67
    Activations Density 0.051%

    No Known Activations