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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. 7-RES-JB
    11. 9436
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    Explanations

    words related to receptors in the body and brain

    oai_token-act-pair · gpt-3.5-turbo

    references to receptors, particularly in a biological context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jobs
    -0.76
    Beat
    -0.76
    meal
    -0.72
     Prosper
    -0.72
    yre
    -0.71
    jong
    -0.71
     Lunar
    -0.70
     Jobs
    -0.69
    lasses
    -0.68
    sic
    -0.67
    POSITIVE LOGITS
     antagonist
    1.03
     antagonists
    1.00
     agon
    0.98
    orescent
    0.94
     receptor
    0.81
     receptors
    0.79
    abbit
    0.75
    interstitial
    0.74
     mediated
    0.72
     lig
    0.72
    Activations Density 0.056%

    No Known Activations