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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. 4925
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    INDEX
    Explanations

    ingredients and cooking instructions in recipe-like text

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

    fractional measurements and cooking instructions

    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
     mosqu
    -0.79
     predec
    -0.77
     explan
    -0.76
     broker
    -0.73
     enthusi
    -0.70
     vetting
    -0.70
     Moroc
    -0.69
     seism
    -0.68
     discriminatory
    -0.68
     classmate
    -0.67
    POSITIVE LOGITS
    4
    1.60
    2
    1.44
    8
    1.40
    3
    1.40
    16
    1.21
    6
    1.13
    5
    1.09
    32
    1.03
    144
    1.03
    7
    1.02
    Activations Density 0.018%

    No Known Activations