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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. 10-RES-JB
    11. 18801
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    Explanations

    phrases related to emphasizing importance or significance

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing urgency or the importance of various issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quer
    -0.90
    soever
    -0.77
    ãĥ¼ãĥ«
    -0.76
    ecided
    -0.72
    nered
    -0.71
    ride
    -0.71
    ipop
    -0.69
    elaide
    -0.68
    strate
    -0.68
     Says
    -0.66
    POSITIVE LOGITS
     importance
    1.79
     dangers
    1.51
     impossibility
    1.40
     absurdity
    1.40
     shortcomings
    1.35
     virtues
    1.34
     significance
    1.33
     usefulness
    1.30
     necessity
    1.28
     plight
    1.27
    Activations Density 0.215%

    No Known Activations