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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. 12-RES-JB
    11. 3527
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    text related to cancer types and treatments

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to cancer risk factors and their statistical relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ikk
    -1.04
     Finn
    -0.97
     Eston
    -0.93
     Sloven
    -0.90
     Polk
    -0.86
    ã
    -0.85
     Esper
    -0.84
    slave
    -0.83
    uckland
    -0.82
    ersion
    -0.82
    POSITIVE LOGITS
     tumors
    2.01
     prostate
    1.98
     cancer
    1.96
     cancers
    1.94
     tumor
    1.87
    cancer
    1.85
     Cancer
    1.84
     chemotherapy
    1.78
     metast
    1.72
     carcin
    1.64
    Activations Density 0.292%

    No Known Activations