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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. 2425
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    Explanations

    information about specific locations or events

    oai_token-act-pair · gpt-3.5-turbo

    topics related to social issues and protests

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    didn
    -0.73
    gamer
    -0.68
     dudes
    -0.68
     dads
    -0.65
    PsyNetMessage
    -0.62
    ãĤ¨ãĥ«
    -0.62
    ãĤ¼
    -0.61
    GAME
    -0.61
    ãĤ°
    -0.60
     Turns
    -0.60
    POSITIVE LOGITS
     UNCLASSIFIED
    0.72
     hereafter
    0.70
     presently
    0.67
     persons
    0.67
     seventy
    0.67
     Citation
    0.64
     forty
    0.64
     however
    0.63
     eleven
    0.62
     fifty
    0.62
    Activations Density 1.625%

    No Known Activations