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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. 16986
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    Explanations

    mentions of food items

    oai_token-act-pair · gpt-3.5-turbo

    words that resemble or contain the substring "meal."

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    piracy
    -0.64
    catentry
    -0.63
    -+-+
    -0.62
    ï¸ı
    -0.61
    ESCO
    -0.57
    fml
    -0.57
     consolidation
    -0.57
     Totem
    -0.57
    RET
    -0.57
     canopy
    -0.57
    POSITIVE LOGITS
    hof
    0.88
    igans
    0.83
    opol
    0.72
    rences
    0.71
    ophon
    0.71
    ocent
    0.70
    iott
    0.69
    utical
    0.69
    owan
    0.69
    agogue
    0.69
    Activations Density 0.156%

    No Known Activations