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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. 0-RES-JB
    11. 12951
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    Explanations

    names or proper nouns, specifically "Jag" and "Greta."

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names or identities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alian
    -0.78
     Caption
    -0.70
    acon
    -0.68
    ouse
    -0.65
    atell
    -0.65
    OTA
    -0.64
     abnormalities
    -0.64
    mon
    -0.64
    rained
    -0.63
     silicone
    -0.61
    POSITIVE LOGITS
     Jag
    4.17
     Gret
    1.42
     Jaguar
    1.27
     Sv
    1.12
     Sag
    1.12
     Krug
    1.11
     Vik
    1.06
     Gir
    1.01
     Seym
    1.00
     Rag
    0.99
    Activations Density 0.038%

    No Known Activations