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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. 3-RES-JB
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    Explanations

    the name "Downey"

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals with Down syndrome or related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.80
    aceous
    -0.72
     fabricated
    -0.70
    olkien
    -0.69
    archives
    -0.68
    ature
    -0.67
    olulu
    -0.65
    asio
    -0.64
    andum
    -0.62
    acca
    -0.61
    POSITIVE LOGITS
    stairs
    1.50
    hill
    1.07
    graded
    0.94
    LOAD
    0.93
    loaded
    0.93
    lap
    0.88
    down
    0.87
    spin
    0.85
    ward
    0.85
    iac
    0.84
    Activations Density 0.015%

    No Known Activations