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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. 17111
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    Explanations

    a variety of options or choices

    oai_token-act-pair · gpt-3.5-turbo
    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
    abad
    -0.68
    İĭ
    -0.64
    $$$$
    -0.60
    sie
    -0.58
    prints
    -0.58
    erick
    -0.58
    orney
    -0.58
    stan
    -0.57
     Walls
    -0.57
     Fury
    -0.57
    POSITIVE LOGITS
     of
    0.94
     thereof
    0.86
     Flavoring
    0.83
    icult
    0.83
    istries
    0.80
     kinds
    0.77
     assortment
    0.76
     incarn
    0.76
     ranging
    0.73
     OF
    0.71
    Activations Density 0.035%

    No Known Activations