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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. 1-RES-JB
    11. 681
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    terms related to biological receptors

    oai_token-act-pair · gpt-3.5-turbo

    terms related to receptors in biological contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Prosper
    -0.78
    ľ
    -0.74
     Appalachian
    -0.69
     Nun
    -0.66
    Haw
    -0.66
    non
    -0.66
     Marian
    -0.66
    erva
    -0.66
    GM
    -0.64
    yre
    -0.64
    POSITIVE LOGITS
     receptors
    1.20
     receptor
    1.13
     proble
    0.93
     agon
    0.93
     antagonists
    0.90
     blockers
    0.89
     elig
    0.85
     antagonist
    0.84
    otonin
    0.84
     inhibitors
    0.83
    Activations Density 0.010%

    No Known Activations