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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. 13217
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    INDEX
    Explanations

    phrases emphasizing the importance of something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "important" and its variations, indicating a focus on significance or necessity

    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
    bow
    -0.80
    bows
    -0.69
    Gil
    -0.65
    stan
    -0.65
    grown
    -0.64
    Bow
    -0.64
    DIT
    -0.63
     WARRANT
    -0.63
    iverpool
    -0.63
    天
    -0.63
    POSITIVE LOGITS
    ioned
    0.73
     imperative
    0.73
     deadlines
    0.69
    erto
    0.69
    aneously
    0.67
     secretaries
    0.64
     Osw
    0.62
     foremost
    0.61
    accompan
    0.61
     investments
    0.60
    Activations Density 0.041%

    No Known Activations