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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. 3-RES-JB
    11. 5703
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    oai_token-act-pair · gpt-3.5-turbo

    gerunds and verb forms related to actions or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     adip
    -0.68
     layers
    -0.66
     iCloud
    -0.65
     pockets
    -0.64
     jeans
    -0.62
     Eclipse
    -0.58
     remote
    -0.57
     neut
    -0.57
    ascade
    -0.57
     stash
    -0.57
    POSITIVE LOGITS
    manship
    0.95
     Advice
    0.81
     advised
    0.79
    Rule
    0.78
    hovah
    0.78
    Coun
    0.75
     preached
    0.75
     advising
    0.75
    ificate
    0.73
    uca
    0.72
    Activations Density 0.124%

    No Known Activations