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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. 2-RES-JB
    11. 7574
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    Explanations

    smells

    oai_token-act-pair · gpt-3.5-turbo

    references to smell

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    umbn
    -0.90
    iscopal
    -0.87
    sen
    -0.81
     Osw
    -0.75
    paragraph
    -0.71
    udeb
    -0.69
    atern
    -0.68
    odder
    -0.67
    apters
    -0.65
    ais
    -0.64
    POSITIVE LOGITS
     smelling
    1.12
     smell
    1.11
     smells
    1.01
     odor
    0.97
     smelled
    0.92
     aroma
    0.88
     buds
    0.80
     bulb
    0.77
     sniff
    0.77
     fragrance
    0.76
    Activations Density 0.012%

    No Known Activations