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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. 23130
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    Explanations

    details, interesting information, and specific facts within the text

    oai_token-act-pair · gpt-3.5-turbo

    references to small, intriguing pieces of information or facts

    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
     mileage
    -0.78
     Warfare
    -0.66
    Ĥª
    -0.66
     Pwr
    -0.66
    ħĭ
    -0.65
    dash
    -0.65
     Ferdinand
    -0.65
     contraception
    -0.65
    Ļ½
    -0.64
     breathing
    -0.64
    POSITIVE LOGITS
    estate
    1.09
    aton
    0.95
    kees
    0.91
    uers
    0.89
    eworks
    0.89
    bley
    0.88
    chen
    0.86
    ance
    0.85
    iets
    0.84
    endum
    0.84
    Activations Density 0.076%

    No Known Activations