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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 15929
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    Explanations

    phrases indicating following or transitioning to another action or topic

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly periods and commas, indicating the end and continuation of sentences

    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
     affili
    -0.96
    quartered
    -0.93
    ciplinary
    -0.80
     tradem
    -0.75
     satell
    -0.72
     restricted
    -0.71
    ahime
    -0.71
     condol
    -0.70
    tains
    -0.70
     encount
    -0.69
    POSITIVE LOGITS
     Then
    1.57
     Sounds
    1.53
     Needless
    1.50
    Sounds
    1.37
     Afterwards
    1.35
     Eventually
    1.34
     Yep
    1.31
     Wow
    1.31
     Repeat
    1.29
    Then
    1.28
    Activations Density 0.453%

    No Known Activations