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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

    mentions of Python programming language

    oai_token-act-pair · gpt-3.5-turbo

    references to "py" related to technology or programming

    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
    =]
    -0.71
    UAL
    -0.71
    IFE
    -0.70
    IAL
    -0.69
    ÙĨ
    -0.68
    hips
    -0.68
    ilee
    -0.67
    RELATED
    -0.67
    Demand
    -0.67
    hold
    -0.66
    POSITIVE LOGITS
    ramid
    1.36
    ongyang
    1.26
    ramids
    1.14
    rites
    0.95
    rene
    0.92
    oleon
    0.91
    roxy
    0.89
    Py
    0.86
    rote
    0.84
    urses
    0.84
    Activations Density 0.013%

    No Known Activations