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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. 5588
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    Explanations

    words associated with communication and expressing ideas clearly

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing clarity, transparency, and the call for more explicit or honest communication

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Ö¼
    -0.77
     fracturing
    -0.75
     vacancy
    -0.69
     deteriorating
    -0.68
     tuberculosis
    -0.66
     vacancies
    -0.65
     pockets
    -0.65
     NCT
    -0.65
     depletion
    -0.64
     veins
    -0.64
    POSITIVE LOGITS
     oneself
    0.90
     lookout
    0.86
     inclusive
    0.85
     Yourself
    0.84
    amed
    0.80
    operative
    0.77
     forever
    0.75
    busters
    0.74
     mindful
    0.74
     vigilant
    0.73
    Activations Density 0.346%

    No Known Activations