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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. 6-RES-JB
    11. 521
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    Explanations

    phrases related to receptors in the body and brain

    oai_token-act-pair · gpt-3.5-turbo

    references to receptors in the body and brain, particularly in relation to pharmacology and their roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eor
    -0.79
     Prosper
    -0.77
    edu
    -0.76
    Beat
    -0.76
    yre
    -0.71
    SQL
    -0.71
    cas
    -0.69
    yon
    -0.69
     Lunar
    -0.69
     Appalachian
    -0.68
    POSITIVE LOGITS
     antagonist
    1.18
     antagonists
    1.15
     agon
    1.11
     receptor
    0.91
     receptors
    0.89
     lig
    0.85
     blocker
    0.84
    orescent
    0.83
     blockers
    0.80
     knockout
    0.78
    Activations Density 0.047%

    No Known Activations