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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. 11-RES-JB
    11. 12689
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    single-letter or two-letter initialisms and acronyms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     decre
    -0.63
     pony
    -0.59
     proportion
    -0.58
     concessions
    -0.58
     instruments
    -0.58
     Rebels
    -0.57
     polio
    -0.56
     harness
    -0.56
     bypass
    -0.55
     today
    -0.54
    POSITIVE LOGITS
    udos
    1.04
    OOOOOOOO
    1.00
    ONSORED
    0.94
    AAAAAAAA
    0.93
    reetings
    0.93
    APTER
    0.92
    ALLY
    0.92
    EEP
    0.91
    ENE
    0.91
    ttp
    0.90
    Activations Density 0.191%

    No Known Activations