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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. 2-RES-JB
    11. 1543
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    Explanations

    proper nouns, specifically names of universities or colleges

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names related to individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edition
    -0.65
    Relations
    -0.64
     touch
    -0.63
    raints
    -0.63
    aneously
    -0.63
    ochet
    -0.62
    favorite
    -0.62
    ORTS
    -0.61
     congress
    -0.60
     trench
    -0.60
    POSITIVE LOGITS
     Bry
    1.31
    sta
    0.94
    stal
    0.93
    ulia
    0.90
    sonian
    0.84
    ansk
    0.81
    ãĥ©ãĥ³
    0.79
    ington
    0.78
    son
    0.78
    bon
    0.78
    Activations Density 0.017%

    No Known Activations