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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. 4-RES-JB
    11. 19808
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    Explanations

    numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and percent statistics

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

    No Comments

    Negative Logits
    HER
    -0.68
    ivities
    -0.66
     Clouds
    -0.65
    Hub
    -0.65
    farious
    -0.64
    ãĤ¯
    -0.64
    isSpecialOrderable
    -0.64
    MAC
    -0.62
     buildup
    -0.61
    achus
    -0.59
    POSITIVE LOGITS
     thousand
    1.00
     cents
    0.82
     hundred
    0.80
    teen
    0.80
    ousand
    0.80
    ths
    0.76
     percent
    0.73
    een
    0.69
    ishly
    0.69
     pounds
    0.68
    Activations Density 0.032%

    No Known Activations