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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 3359
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    INDEX
    Explanations

    words related to strong negative emotions such as loathing and hatred

    oai_token-act-pair · gpt-3.5-turbo

    words related to atheism or non-belief

    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
     Dek
    -0.72
     Latvia
    -0.70
     TBA
    -0.68
     UNHCR
    -0.68
     MO
    -0.67
     Congo
    -0.67
     Zub
    -0.66
     Io
    -0.66
     Lakes
    -0.66
     Migration
    -0.66
    POSITIVE LOGITS
    adoes
    1.05
    rette
    1.01
    reditary
    0.89
    adesh
    0.88
    istical
    0.85
    jriwal
    0.84
    hedral
    0.83
    artisan
    0.83
    ħĭ
    0.80
    ados
    0.80
    Activations Density 0.030%

    No Known Activations