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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. 4-RES-JB
    11. 7904
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    Explanations

    words related to medical conditions, specifically tumors at various levels of severity

    oai_token-act-pair · gpt-3.5-turbo

    mentions of tumors in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -1.03
    BOOK
    -0.89
    sers
    -0.87
     Dragonbound
    -0.86
    ãĤ±
    -0.78
    ership
    -0.77
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.76
    ersive
    -0.75
    ords
    -0.74
    }}}
    -0.71
    POSITIVE LOGITS
     tumor
    1.17
     tumors
    1.14
     metast
    0.99
     tum
    0.91
     cancer
    0.85
    cancer
    0.77
     prostate
    0.77
     cancers
    0.76
     gland
    0.73
     Cancer
    0.73
    Activations Density 0.009%

    No Known Activations