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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. 69
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    INDEX
    Explanations

    phrases related to success, action, and achievement

    oai_token-act-pair · gpt-3.5-turbo

    significant events or actions that impact relationships or communities

    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
    holding
    -0.64
    ellation
    -0.58
    TION
    -0.56
    ishing
    -0.56
    advertising
    -0.54
    ItemTracker
    -0.54
     warrants
    -0.53
    Wa
    -0.53
    flation
    -0.53
    EngineDebug
    -0.52
    POSITIVE LOGITS
     declare
    1.48
     engage
    1.47
     formulate
    1.45
     achieve
    1.45
     eliminate
    1.45
     analyze
    1.44
     seize
    1.44
     participate
    1.44
     manage
    1.42
     succeed
    1.42
    Activations Density 0.734%

    No Known Activations