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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. 12-RES-JB
    11. 3880
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    Explanations

    mentions of the concept of timing and making decisions/actions at the appropriate moment

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    instances of the word "right" in various contexts, often indicating correctness or appropriateness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anned
    -0.81
    cit
    -0.68
    ahar
    -0.68
    ushima
    -0.68
    IRED
    -0.65
    true
    -0.65
    false
    -0.64
    irable
    -0.64
     Norn
    -0.63
     Shutterstock
    -0.60
    POSITIVE LOGITS
     amount
    1.11
     proportions
    1.08
     combination
    1.01
     thing
    1.01
     balance
    1.00
     circumstances
    0.94
     kind
    0.93
     dosage
    0.92
     sized
    0.90
    eous
    0.89
    Activations Density 0.090%

    No Known Activations