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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. 9-RES-JB
    11. 24086
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    Explanations

    technical specifications and product details, possibly related to computer hardware or electronic devices

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to technology and product specifications

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     sponsors
    -0.72
     coordin
    -0.70
     interns
    -0.67
     acron
    -0.65
     ko
    -0.65
     advertisers
    -0.65
     discl
    -0.63
     harb
    -0.63
    terday
    -0.63
     CONT
    -0.62
    POSITIVE LOGITS
    immer
    0.77
    ucer
    0.77
    pler
    0.73
    ule
    0.73
    layer
    0.73
    lance
    0.71
    aler
    0.70
    othal
    0.69
    mix
    0.69
     GDDR
    0.69
    Activations Density 0.157%

    No Known Activations