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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. 12-RES-JB
    11. 4863
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    INDEX
    Explanations

    requirements and instructions for attending events or classes

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    instructions and requirements for bringing items to events or activities

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    thro
    -0.76
     subp
    -0.76
     franch
    -0.71
     millisec
    -0.70
    verse
    -0.69
     Dhabi
    -0.68
     eminent
    -0.66
    NetMessage
    -0.66
     synd
    -0.64
    avy
    -0.63
    POSITIVE LOGITS
     blankets
    1.46
     snacks
    1.36
     essentials
    1.34
     towels
    1.31
     supplies
    1.30
     sunscreen
    1.26
     tents
    1.17
     necessities
    1.17
     clothes
    1.15
     belongings
    1.13
    Activations Density 0.432%

    No Known Activations