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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. 1-RES-JB
    11. 13180
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    Explanations

    mentions of the word "main" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "main" and its variations, indicating a focus on primary topics or themes within the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Solitaire
    -0.70
    lyak
    -0.68
     morphine
    -0.65
     generous
    -0.60
     narc
    -0.59
     Euros
    -0.58
     tense
    -0.58
     tears
    -0.57
     Rocks
    -0.57
     Grateful
    -0.57
    POSITIVE LOGITS
    tenance
    1.76
    main
    1.15
    stay
    0.99
    yout
    0.86
    yu
    0.84
    fleet
    0.82
    ctors
    0.80
    chart
    0.80
    rar
    0.80
    stream
    0.79
    Activations Density 0.003%

    No Known Activations