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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. 4854
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    Explanations

    verbs related to action such as "draw," especially when used in a metaphorical sense

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

    variations of the word "draw," particularly in contexts that imply taking attention or pulling something forth

    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
    gram
    -0.72
    Laun
    -0.67
    acre
    -0.66
    oder
    -0.66
    ORPG
    -0.65
    zza
    -0.65
    ft
    -0.65
    ìĿ
    -0.64
     âĶľâĶĢâĶĢ
    -0.64
    duc
    -0.63
    POSITIVE LOGITS
     parallels
    1.34
     conclusions
    1.24
     inspiration
    1.17
     attention
    1.17
     comparisons
    1.14
     distinctions
    1.07
     curtains
    1.06
     ire
    1.01
     contrasts
    0.94
     diagrams
    0.94
    Activations Density 0.076%

    No Known Activations