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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
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    Explanations

    references to locations in a city, specifically mentioning uptown

    oai_token-act-pair · gpt-3.5-turbo

    references to urban areas, particularly those related to "uptown" and "downtown."

    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
    BuyableInstoreAndOnline
    -0.91
     Mori
    -0.86
    Frag
    -0.84
     Flavoring
    -0.81
    Wan
    -0.75
     Candy
    -0.74
    Traditional
    -0.73
     Franch
    -0.73
    IRO
    -0.72
    zai
    -0.72
    POSITIVE LOGITS
    upt
    1.22
    ĵĺ
    1.04
     upt
    0.96
    ignt
    0.94
    urned
    0.92
     downt
    0.91
    ivery
    0.89
    eatures
    0.86
    eneg
    0.83
    riter
    0.82
    Activations Density 0.006%

    No Known Activations