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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
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    Explanations

    phrases containing the word "potentially"

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "pot" or its variations, particularly in legal or societal contexts

    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
     silence
    -0.72
    IGH
    -0.71
    âĸ¬
    -0.63
     obser
    -0.63
     livest
    -0.62
     descriptor
    -0.61
     Wildcats
    -0.61
     breaths
    -0.60
    cknow
    -0.60
     accompanying
    -0.59
    POSITIVE LOGITS
    atoes
    1.36
    assium
    1.17
    ential
    1.12
    itive
    1.08
    pots
    1.02
    pot
    0.99
    entially
    0.98
    tery
    0.97
    entials
    0.97
    luck
    0.95
    Activations Density 0.007%

    No Known Activations