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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. 11-RES-JB
    6. 9060
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    Explanations

    descriptions of things or concepts that are not explicitly mentioned or specified

    oai_token-act-pair · gpt-3.5-turbo

    references to unspecified or ambiguous concepts

    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
    DOS
    -0.84
    eret
    -0.75
    ilt
    -0.69
    shock
    -0.68
    anism
    -0.67
     Shutterstock
    -0.67
    inity
    -0.66
    ortex
    -0.64
     Facility
    -0.64
    IPS
    -0.64
    POSITIVE LOGITS
     else
    1.60
     resembling
    1.30
    Else
    1.22
     akin
    1.10
     tangible
    1.10
     worthwhile
    1.04
     meaningful
    1.00
     Else
    0.98
     drastic
    0.97
    else
    0.97
    Activations Density 0.071%

    No Known Activations