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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. 8-RES-JB
    11. 9929
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    INDEX
    Explanations

    mentions of languages or language-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of language

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilon
    -0.95
    kus
    -0.91
    romeda
    -0.87
    roxy
    -0.85
    roleum
    -0.84
    oppable
    -0.84
    OHN
    -0.80
    apego
    -0.80
    nuts
    -0.78
    urion
    -0.78
    POSITIVE LOGITS
     spoken
    1.24
     learners
    1.07
     interpreter
    1.05
     proficiency
    1.02
    language
    0.97
     translation
    0.94
     flu
    0.94
     barrier
    0.88
    ĨĴ
    0.87
     immersion
    0.86
    Activations Density 0.055%

    No Known Activations