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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. 8-RES-JB
    11. 853
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    Explanations

    words related to software, technology, and popular culture references, such as "Scarlet Begonias" and "Purple Rain"

    oai_token-act-pair · gpt-3.5-turbo

    words related to various types of media or art forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PLIED
    -0.81
    hran
    -0.81
    uers
    -0.76
    zig
    -0.76
    udeb
    -0.75
    igators
    -0.68
    kson
    -0.68
    raints
    -0.68
    hesion
    -0.67
    thood
    -0.66
    POSITIVE LOGITS
     Cham
    0.78
    byte
    0.76
     Dynamics
    0.76
     Grove
    0.74
    Series
    0.72
    Heart
    0.72
     Logic
    0.72
    Clock
    0.71
    heart
    0.70
     Dreams
    0.69
    Activations Density 0.240%

    No Known Activations