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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. 8-RES-JB
    11. 10299
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    Explanations

    mentions of the word "Cu" or "Cuert" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Cupertino

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hips
    -0.76
    making
    -0.66
    sight
    -0.65
    lessness
    -0.64
     PID
    -0.63
    ãĥĦ
    -0.62
     Aid
    -0.61
    âķIJâķIJ
    -0.61
    ãĥĹ
    -0.61
     SPD
    -0.61
    POSITIVE LOGITS
    isine
    1.54
    adr
    1.14
    adra
    1.02
    untu
    1.00
    illin
    0.98
    vette
    0.95
    isin
    0.93
    atro
    0.93
    PLIC
    0.92
    itton
    0.91
    Activations Density 0.030%

    No Known Activations