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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. 4-RES-JB
    11. 13690
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    words related to strong smells or odors

    oai_token-act-pair · gpt-3.5-turbo

    words related to smell

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

    No Comments

    Negative Logits
    ITAL
    -0.76
    GROUND
    -0.66
    DragonMagazine
    -0.64
    æ©Ł
    -0.62
    wright
    -0.62
     Kavanaugh
    -0.61
    EMENT
    -0.61
    Marginal
    -0.61
     Cerberus
    -0.61
    cair
    -0.61
    POSITIVE LOGITS
    ooth
    1.37
    oke
    1.22
    ugg
    1.13
    oky
    1.12
    udge
    1.10
    oking
    1.07
    oker
    1.07
    itten
    1.06
    iley
    1.04
    oked
    1.03
    Activations Density 0.006%

    No Known Activations