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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. 18356
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    Explanations

    the names of companies or products

    oai_token-act-pair · gpt-3.5-turbo

    specific company or brand names

    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
    xual
    -0.71
     %%
    -0.66
     Parables
    -0.65
    blance
    -0.64
    ixtape
    -0.64
     fallacy
    -0.63
     theorem
    -0.62
    interstitial
    -0.61
     INF
    -0.61
     aka
    -0.60
    POSITIVE LOGITS
    Company
    0.85
    Corp
    0.83
    Companies
    0.83
    rex
    0.82
     Corporation
    0.81
     subsidiaries
    0.81
     Pharma
    0.80
    Zen
    0.80
     subsidiary
    0.77
     executives
    0.77
    Activations Density 0.259%

    No Known Activations