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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. 14407
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    Explanations

    phrases related to the functionality and practicality of different approaches or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to practical implementation or application

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    No Comments

    Negative Logits
    76561
    -0.89
    bryce
    -0.67
    esh
    -0.66
    wine
    -0.66
    quartered
    -0.65
    awn
    -0.64
     pier
    -0.63
    VIDIA
    -0.63
     rightfully
    -0.63
     pilgr
    -0.62
    POSITIVE LOGITS
     reality
    1.06
    effect
    1.02
     spite
    1.00
     practice
    0.99
    effic
    0.99
     vitro
    0.96
     tandem
    0.96
     vivo
    0.94
     retrospect
    0.94
     hindsight
    0.94
    Activations Density 0.222%

    No Known Activations