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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. 22190
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    Explanations

    words related to smelling or detecting odors

    oai_token-act-pair · gpt-3.5-turbo

    words related to scents and physical sensations

    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
    shaw
    -0.73
    ideshow
    -0.71
    ques
    -0.70
    quin
    -0.69
    Leader
    -0.69
    HCR
    -0.68
    oys
    -0.68
    avior
    -0.68
     sights
    -0.66
    gression
    -0.66
    POSITIVE LOGITS
     whiff
    1.08
     footing
    0.97
     teasp
    0.79
    ertodd
    0.73
     Akin
    0.73
     smelling
    0.72
     Mayweather
    0.71
     contaminated
    0.71
     sshd
    0.68
    arnaev
    0.66
    Activations Density 0.026%

    No Known Activations