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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 16190
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    Explanations

    phrases indicating a sequence of events, specifically events that happened just before a certain action or outcome

    oai_token-act-pair · gpt-3.5-turbo

    pronouns, particularly focusing on the repeated mentions of "he," "she," "I," and "they."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Associated
    -0.71
     Monteneg
    -0.64
     Canaver
    -0.64
     Consortium
    -0.64
     Electrical
    -0.63
     Federation
    -0.63
     Optim
    -0.61
     understatement
    -0.61
     sarc
    -0.61
     Strategy
    -0.60
    POSITIVE LOGITS
    've
    1.04
     arrived
    0.91
     started
    0.87
     began
    0.87
    're
    0.87
    hran
    0.84
     became
    0.82
    'd
    0.82
     exited
    0.82
     arrive
    0.82
    Activations Density 0.136%

    No Known Activations