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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. 2-RES-JB
    11. 15836
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    Explanations

    references to different programming or spoken languages

    oai_token-act-pair · gpt-3.5-turbo

    mentions of programming languages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apego
    -1.06
    ometown
    -0.77
    agher
    -0.75
    orate
    -0.75
    thritis
    -0.73
    aternal
    -0.73
    deen
    -0.73
    odder
    -0.73
    ulz
    -0.72
    reens
    -0.72
    POSITIVE LOGITS
     languages
    1.07
     Languages
    0.99
     spoken
    0.96
    anguage
    0.86
     language
    0.86
    ĨĴ
    0.85
    chool
    0.85
    mith
    0.84
    linger
    0.83
     fluent
    0.82
    Activations Density 0.011%

    No Known Activations