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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. 2552
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    Explanations

    words related to object manipulation or construction

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

    actions related to positioning or placing objects

    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
     entreprene
    -0.72
     pestic
    -0.64
     Palestin
    -0.64
    ģ«
    -0.64
    MSN
    -0.64
     undermin
    -0.63
    ¥µ
    -0.63
    RESULTS
    -0.61
    ASHINGTON
    -0.61
    Introduced
    -0.61
    POSITIVE LOGITS
     atop
    1.21
     onto
    1.13
     upside
    1.12
     squarely
    1.12
     underneath
    1.10
     beside
    1.06
     securely
    1.05
     vertically
    1.05
     upright
    1.05
     snug
    1.03
    Activations Density 0.231%

    No Known Activations