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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. 7-RES-JB
    11. 5334
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    Explanations

    phrases indicating a contrast or emphasizing a point

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the word "just."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     seiz
    -0.78
    ynasty
    -0.71
    undai
    -0.71
     necks
    -0.70
     sacrific
    -0.68
    leneck
    -0.66
     prosec
    -0.65
     destro
    -0.64
    ixel
    -0.64
     challeng
    -0.64
    POSITIVE LOGITS
    ifiable
    1.27
    ifications
    0.98
     kidding
    0.94
     plain
    0.90
    IFIED
    0.88
    if
    0.83
    ified
    0.81
     icing
    0.79
    ices
    0.78
    IFIC
    0.73
    Activations Density 0.073%

    No Known Activations