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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. 5007
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    INDEX
    Explanations

    mentions of the term "micro" in the context of technology and components

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

    references to "micro" and small-scale concepts

    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
     eagerly
    -0.57
     await
    -0.57
    igham
    -0.55
     Rex
    -0.55
     dearly
    -0.54
     prominently
    -0.54
     eminent
    -0.54
     Osiris
    -0.53
     patiently
    -0.53
     awaiting
    -0.53
    POSITIVE LOGITS
    processor
    1.30
    gravity
    1.22
    controller
    1.20
    chip
    1.18
    cos
    1.17
    organisms
    1.17
    seconds
    1.16
    services
    1.15
    brew
    1.15
    second
    1.10
    Activations Density 0.016%

    No Known Activations