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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. 3-RES-JB
    11. 16978
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    INDEX
    Explanations

    technical specifications related to electronic devices

    oai_token-act-pair · gpt-3.5-turbo

    references to dual functionality or dual features in technology

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    FORE
    -0.81
    otle
    -0.76
     Yards
    -0.68
    âĸĪâĸĪ
    -0.68
     Podcast
    -0.67
     Warehouse
    -0.67
    ONEY
    -0.66
    Dialogue
    -0.65
    ICAN
    -0.65
    âĸĪâĸĪâĸĪâĸĪ
    -0.64
    POSITIVE LOGITS
    fold
    0.94
     dual
    0.87
    ities
    0.86
    ity
    0.82
    edged
    0.81
     simultaneous
    0.81
    ples
    0.80
     oppos
    0.79
    etheless
    0.76
     multit
    0.75
    Activations Density 0.007%

    No Known Activations