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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 3870
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    Explanations

    references to monetary values in the trillions

    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
     placement
    -0.65
     assignments
    -0.63
     selection
    -0.60
     scheduling
    -0.60
     indoors
    -0.59
     outdoors
    -0.58
    stairs
    -0.58
     promotions
    -0.57
     Orient
    -0.56
     Sabbath
    -0.55
    POSITIVE LOGITS
     trillion
    1.60
     billion
    1.56
    billion
    1.53
     Billion
    1.38
     million
    1.26
    million
    1.22
     trillions
    1.16
    bn
    1.15
     billions
    1.14
     crore
    1.13
    Activations Density 0.299%

    No Known Activations