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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. 4-RES-JB
    11. 4625
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    Explanations

    terms related to historical or original sources or beginnings

    oai_token-act-pair · gpt-3.5-turbo

    discussions about the origins of various subjects or phenomena

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

    No Comments

    Negative Logits
    mun
    -0.87
    env
    -0.73
    err
    -0.73
    bus
    -0.71
    room
    -0.71
    SM
    -0.70
    opers
    -0.70
    rooms
    -0.68
    train
    -0.68
    vag
    -0.67
    POSITIVE LOGITS
     anew
    0.84
     Roots
    0.75
     fueling
    0.75
     Origins
    0.74
     thereof
    0.73
     intertw
    0.71
     unfolding
    0.69
     reintrodu
    0.68
     unfold
    0.68
    Û
    0.67
    Activations Density 0.025%

    No Known Activations