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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. 14583
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    phrases related to achieving goals and tasks efficiently

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to achieving goals or progress

    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
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    No Comments

    Negative Logits
    DEN
    -0.78
    iller
    -0.74
     aversion
    -0.68
     apologies
    -0.64
    cean
    -0.64
     dearly
    -0.62
     disobedience
    -0.61
     Investor
    -0.61
    BLIC
    -0.59
    ERROR
    -0.57
    POSITIVE LOGITS
     together
    1.26
    together
    1.08
     afloat
    1.03
     Together
    0.96
     rolling
    0.91
     toget
    0.91
     started
    0.86
    started
    0.84
     underway
    0.81
     flowing
    0.78
    Activations Density 0.219%

    No Known Activations