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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. 11-RES-JB
    11. 12956
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    Explanations

    words related to change, improvement, progress, and innovation

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to progress and innovation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    âĢ
    -1.06
     âĢ
    -0.79
    Camp
    -0.70
    english
    -0.69
    âĸł
    -0.67
    Profile
    -0.67
    ا
    -0.66
    facebook
    -0.66
    Muslim
    -0.65
    Pal
    -0.65
    POSITIVE LOGITS
     incremental
    1.12
     iter
    1.10
     stagnation
    1.10
     stagn
    1.05
     inertia
    1.04
     hindsight
    1.02
     exponential
    1.01
     equilibrium
    0.98
     unforeseen
    0.98
     inev
    0.97
    Activations Density 0.966%

    No Known Activations