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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. 2981
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    INDEX
    Explanations

    mentions of languages or their related aspects in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of language and its aspects, particularly in relation to Mandarin

    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
    romeda
    -0.92
    roxy
    -0.92
    kus
    -0.91
    oppable
    -0.83
    nuts
    -0.83
    ilon
    -0.82
    apego
    -0.82
    lein
    -0.80
    OHN
    -0.80
    ersen
    -0.77
    POSITIVE LOGITS
     spoken
    1.25
     proficiency
    1.16
     learners
    1.13
     interpreter
    1.08
     barrier
    1.03
     lear
    0.98
    language
    0.94
     immersion
    0.93
     flu
    0.92
     arts
    0.92
    Activations Density 0.057%

    No Known Activations