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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. 9-RES-JB
    11. 22866
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    Explanations

    information about individuals achieving notable firsts or accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    instances of individuals achieving first-time accomplishments or milestones

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.76
    little
    -0.70
    Newsletter
    -0.65
     beware
    -0.64
    gradation
    -0.61
     fortunately
    -0.60
    terness
    -0.59
     accordingly
    -0.59
    loving
    -0.58
    ernels
    -0.58
    POSITIVE LOGITS
     publicly
    0.82
     consecutive
    0.80
     solo
    0.75
     remotely
    0.74
    clusively
    0.71
     anywhere
    0.71
     consecut
    0.70
     postseason
    0.69
     officially
    0.68
    -+
    0.66
    Activations Density 0.601%

    No Known Activations