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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. 11-RES-JB
    11. 6054
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    INDEX
    Explanations

    instances where actions were taken or things were done

    oai_token-act-pair · gpt-3.5-turbo

    repetitions of the word "did."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.79
    isu
    -0.76
    é¾įå¥ij士
    -0.72
    raltar
    -0.69
    quished
    -0.67
    ONSORED
    -0.65
    æ³
    -0.64
    boarding
    -0.62
    milo
    -0.60
    ItemTracker
    -0.58
    POSITIVE LOGITS
     manage
    1.27
     realise
    1.02
     indeed
    1.01
     succeed
    0.99
     realize
    0.99
     decide
    0.98
     warn
    0.98
     wonders
    0.98
    actic
    0.98
     not
    0.98
    Activations Density 0.093%

    No Known Activations