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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. 4-RES-JB
    11. 15660
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    Explanations

    studies, investigations, or actions that are planned and carried out in an organized and methodical manner

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "systematic" in various contexts

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

    No Comments

    Negative Logits
    hawk
    -0.90
    hawks
    -0.84
    gets
    -0.77
    Redd
    -0.77
    boards
    -0.75
    frog
    -0.72
    tein
    -0.67
    busters
    -0.66
    bolt
    -0.65
    nery
    -0.65
    POSITIVE LOGITS
     systematic
    0.97
    itarian
    0.85
    urally
    0.82
    izational
    0.79
    krit
    0.76
    analysis
    0.76
     overhaul
    0.75
     economical
    0.74
     violation
    0.72
     doping
    0.72
    Activations Density 0.014%

    No Known Activations