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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. 2-RES-JB
    11. 2005
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    Explanations

    instances of the word "cripple" at varying levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals or entities, particularly variations of the name "Jorge" and "ripple."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sabha
    -0.73
     Jackets
    -0.65
     Antar
    -0.62
     millennium
    -0.61
     Seeking
    -0.60
     Schwar
    -0.60
    Charges
    -0.59
    âĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪ
    -0.58
     suburban
    -0.57
     Benghazi
    -0.56
    POSITIVE LOGITS
    ripp
    1.00
    erella
    1.00
     destro
    0.87
    sburgh
    0.86
    kefeller
    0.85
    hin
    0.84
    son
    0.84
    inson
    0.83
    sonian
    0.83
    down
    0.83
    Activations Density 0.008%

    No Known Activations