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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 4426
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    Explanations

    acronyms related to government agencies or programs

    oai_token-act-pair · gpt-3.5-turbo

    references to various military and defense-related programs or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.93
     Subtle
    -0.87
     Tosh
    -0.74
    itars
    -0.73
    ãĥ¼ãĥĨãĤ£
    -0.72
     Sorceress
    -0.71
     Healer
    -0.71
     Swordsman
    -0.71
    ãĤ´ãĥ³
    -0.70
     Haku
    -0.70
    POSITIVE LOGITS
    SA
    1.08
    ISA
    1.08
    CP
    1.07
    SE
    1.06
    NP
    1.04
    WP
    1.04
    CS
    1.02
    HS
    1.01
    GC
    1.00
    PA
    0.99
    Activations Density 0.309%

    No Known Activations