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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. 1-RES-JB
    11. 15870
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    Explanations

    mentions of technical terms related to electronic devices and accessories, with a focus on HDMI connections

    oai_token-act-pair · gpt-3.5-turbo

    terms related to technology and family influences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erest
    -0.77
    elope
    -0.74
    eds
    -0.72
    rieg
    -0.71
    ctrl
    -0.71
    rella
    -0.71
    leans
    -0.70
    ipop
    -0.70
    ele
    -0.69
    td
    -0.68
    POSITIVE LOGITS
    RGB
    0.72
    umin
    0.70
     Chin
    0.63
    AME
    0.63
    393
    0.63
    awei
    0.63
    ãĥ¼ãĥĨãĤ£
    0.62
    Ļ½
    0.62
    crow
    0.62
     sockets
    0.60
    Activations Density 0.019%

    No Known Activations