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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. 22909
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    Explanations

    terms related to rejuvenation, revitalization, and re-energizing

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rejuvenation and revitalization

    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
     Settlement
    -0.68
     Advertisement
    -0.66
    yer
    -0.66
    BOOK
    -0.63
     SAR
    -0.62
    anut
    -0.62
     deviations
    -0.61
    */(
    -0.61
    Ùĩ
    -0.60
    ÙĬ
    -0.58
    POSITIVE LOGITS
     rejuven
    1.14
    issance
    1.11
     revital
    1.04
    itialized
    1.01
    igor
    0.93
    igue
    0.90
     vitality
    0.85
    enment
    0.81
    orically
    0.81
    ixir
    0.78
    Activations Density 0.018%

    No Known Activations