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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. 5-RES-JB
    6. 2400
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    Explanations

    the word "that" occurring with a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "that" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Tax
    -0.66
    emis
    -0.66
    YS
    -0.66
    tones
    -0.62
    LIN
    -0.62
    apolis
    -0.62
     Prepar
    -0.61
    York
    -0.60
    Tex
    -0.58
     tam
    -0.58
    POSITIVE LOGITS
     pesky
    0.85
    cher
    0.83
     translates
    0.83
     includes
    0.81
     mattered
    0.81
    milo
    0.80
     culminated
    0.79
     resulted
    0.77
     entails
    0.75
     sounds
    0.74
    Activations Density 0.159%

    No Known Activations