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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. 9-RES-JB
    11. 18022
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    Explanations

    words related to people, places, and activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to animals and their welfare

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quickShipAvailable
    -0.76
    ascript
    -0.69
    heit
    -0.68
    é¾įå
    -0.64
    £ı
    -0.63
     Lauder
    -0.61
    utsche
    -0.61
    illian
    -0.61
    avier
    -0.60
    ILY
    -0.59
    POSITIVE LOGITS
    reciation
    0.79
    ership
    0.74
     Tycoon
    0.73
    âĨij
    0.72
    ichick
    0.69
    iasco
    0.64
    reau
    0.63
     simulator
    0.63
    odder
    0.61
    brids
    0.60
    Activations Density 0.621%

    No Known Activations