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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. 3-RES-JB
    11. 4572
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    Explanations

    actions related to smelling or detecting scents

    oai_token-act-pair · gpt-3.5-turbo

    words related to the act of smelling or detecting scents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Springer
    -0.77
    jri
    -0.70
    HCR
    -0.70
    thumbnails
    -0.68
    ItemImage
    -0.64
    ffen
    -0.63
    Published
    -0.62
    Leader
    -0.62
    EStreamFrame
    -0.61
    paragraph
    -0.60
    POSITIVE LOGITS
     sniff
    1.31
    aly
    0.87
    alys
    0.85
    pots
    0.81
     smelling
    0.80
    ing
    0.79
    er
    0.78
    ibly
    0.77
     buds
    0.76
    iffs
    0.75
    Activations Density 0.007%

    No Known Activations