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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. 3-RES-JB
    11. 12053
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    INDEX
    Explanations

    time-related phrases or events

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases indicating a sense of emergence or origin

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etsk
    -0.70
    Adapt
    -0.69
     anew
    -0.68
    blem
    -0.67
    natureconservancy
    -0.67
    mun
    -0.67
    rored
    -0.66
     furthermore
    -0.66
    ancial
    -0.66
    needed
    -0.65
    POSITIVE LOGITS
     standpoint
    1.34
     outset
    1.02
     perspective
    0.95
     vantage
    0.90
    ratch
    0.87
     depths
    0.87
     confines
    0.87
     infancy
    0.86
     shores
    0.83
     viewpoint
    0.79
    Activations Density 0.507%

    No Known Activations