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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. 24217
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    Explanations

    legal or authoritative terms and contexts

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to significant legal frameworks or regulatory standards

    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
     Manhattan
    -0.80
     Marketable
    -0.70
     Shattered
    -0.68
     Whit
    -0.64
     Kiw
    -0.64
    houses
    -0.64
     Skydragon
    -0.64
     Syd
    -0.64
     Bethlehem
    -0.63
     scatter
    -0.63
    POSITIVE LOGITS
    ¬
    1.27
    Ĵ
    1.24
    Ļ
    1.16
    ı
    1.15
    ľ
    1.15
    ķ
    1.14
    ¡
    1.14
    ĸ
    1.12
    ĺ
    1.12
    Ķ
    1.11
    Activations Density 0.191%

    No Known Activations