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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. 13432
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    Explanations

    smells or odors

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "smog" and related terminology

    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
    DragonMagazine
    -1.03
    quickShipAvailable
    -0.78
     Emir
    -0.71
    HCR
    -0.67
     Vanguard
    -0.66
    EMENT
    -0.66
    ERAL
    -0.65
    hyde
    -0.64
     Defenders
    -0.63
     Governors
    -0.63
    POSITIVE LOGITS
    oky
    1.16
    attering
    1.07
    itten
    1.06
    ugg
    1.06
    ashed
    1.00
    itt
    1.00
    udge
    0.98
    ithing
    0.98
    ould
    0.96
    acking
    0.96
    Activations Density 0.006%

    No Known Activations