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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. 11-RES-JB
    11. 21654
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    INDEX
    Explanations

    comparative statements regarding quantities or numbers

    oai_token-act-pair · gpt-3.5-turbo

    comparative phrases emphasizing greater quantities or extremes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onomy
    -0.74
    UTH
    -0.72
    hao
    -0.71
    limited
    -0.70
    CHAT
    -0.69
    Introdu
    -0.69
    sit
    -0.67
    PLIC
    -0.67
    Appearance
    -0.67
    adr
    -0.66
    POSITIVE LOGITS
     any
    1.14
     anywhere
    1.07
     anyone
    1.03
     anybody
    1.00
     usual
    0.92
     ever
    0.88
     anticipated
    0.85
    ever
    0.85
     anytime
    0.79
     anything
    0.78
    Activations Density 0.098%

    No Known Activations