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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. 10-RES-JB
    11. 7789
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    Explanations

    phrases related to investment and funding

    oai_token-act-pair · gpt-3.5-turbo

    terms related to financial investments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĶĢ
    -0.68
    Ĥİ
    -0.65
     Passing
    -0.65
    dylib
    -0.63
     tease
    -0.62
    DragonMagazine
    -0.62
    BUR
    -0.61
    alities
    -0.59
     cook
    -0.59
    sync
    -0.58
    POSITIVE LOGITS
    igate
    1.27
     heavily
    1.00
    itures
    0.99
     wisely
    0.99
    iture
    0.95
     funds
    0.93
    igated
    0.90
     billions
    0.88
    igating
    0.85
     into
    0.85
    Activations Density 0.033%

    No Known Activations