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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. 22588
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    INDEX
    Explanations

    phrases indicating a contrast or exception

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating separation or distinction

    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
     crawl
    -0.71
     tumble
    -0.65
    cat
    -0.62
     earnest
    -0.61
     tiss
    -0.60
    IZE
    -0.59
    iking
    -0.59
     Huck
    -0.58
     chase
    -0.58
     bite
    -0.57
    POSITIVE LOGITS
    heid
    1.55
    ments
    1.34
    comings
    1.10
    osite
    0.97
    isphere
    0.90
    Ħ¢
    0.83
    ment
    0.82
     Apart
    0.81
    inguished
    0.79
    mental
    0.76
    Activations Density 0.006%

    No Known Activations