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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. 2-RES-JB
    11. 22367
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    Explanations

    keyword: "che" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    references to checks and financial transactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Archdemon
    -0.87
    DragonMagazine
    -0.81
    ELF
    -0.68
    LAN
    -0.68
     Kirin
    -0.68
    ICS
    -0.68
     Orbital
    -0.68
    IST
    -0.65
    owship
    -0.64
     ANG
    -0.64
    POSITIVE LOGITS
    chet
    0.98
     che
    0.94
    rolled
    0.92
    bags
    0.91
    arest
    0.91
    atted
    0.85
    bag
    0.85
    vern
    0.84
    che
    0.83
    ards
    0.82
    Activations Density 0.005%

    No Known Activations