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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. 0-RES-JB
    11. 1484
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    INDEX
    Explanations

    mentions of a specific term, "Lomo," often in relation to products, companies, or people

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "Lomo Instant" camera

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Row
    -0.63
     Sky
    -0.62
     subsection
    -0.61
     dull
    -0.59
     def
    -0.58
     border
    -0.57
     Raf
    -0.57
     scratch
    -0.56
     reference
    -0.56
     skirm
    -0.56
    POSITIVE LOGITS
    omo
    4.99
    omon
    1.36
    omi
    1.14
    ombo
    1.11
    eco
    1.06
    ugu
    1.04
    etus
    1.03
    omer
    1.01
    emo
    1.00
    om
    1.00
    Activations Density 0.014%

    No Known Activations