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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
    11. 6010
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    Explanations

    words related to the process of introducing or implementing a new system or technology

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the process of product or system rollouts, especially in a flawed context

    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
    acts
    -0.85
    onyms
    -0.83
     Sul
    -0.80
    essional
    -0.72
    unin
    -0.71
    icipated
    -0.70
    hiro
    -0.69
    ently
    -0.68
    inates
    -0.67
    anto
    -0.66
    POSITIVE LOGITS
     rollout
    1.28
     overhaul
    0.69
     cancellation
    0.68
     botched
    0.68
     delays
    0.67
     Mania
    0.65
     backlog
    0.65
     Remastered
    0.65
     sequencing
    0.64
     Delay
    0.64
    Activations Density 0.020%

    No Known Activations