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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 6653
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    Explanations

    phrases related to specific names or terms

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •EggList

    No Comments

    Negative Logits
     Jung
    -0.79
     GO
    -0.78
     Maher
    -0.76
     Joh
    -0.74
     TIM
    -0.72
     ham
    -0.72
     HAL
    -0.71
     Huang
    -0.70
     JACK
    -0.69
     Jen
    -0.69
    POSITIVE LOGITS
    ic
    1.67
    IC
    1.33
    ics
    1.25
    ici
    1.18
    icc
    1.17
    aic
    1.16
    icism
    1.16
    icity
    1.15
    ICS
    1.11
    inic
    1.11
    Activations Density 0.194%

    No Known Activations