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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. 4-RES-JB
    11. 22071
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    Explanations

    phrases indicating the potential for missing an opportunity or lacking participation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to missing out or opportunities

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

    No Comments

    Negative Logits
    SPONSORED
    -0.88
    soDeliveryDate
    -0.74
    isted
    -0.72
    IDA
    -0.68
    ifted
    -0.68
     aided
    -0.66
     attm
    -0.64
    cerned
    -0.63
    itri
    -0.63
    emies
    -0.62
    POSITIVE LOGITS
    birth
    0.67
    auga
    0.63
     spectacular
    0.62
    ãģĭ
    0.62
     dearly
    0.62
    psey
    0.61
     Cheong
    0.61
     Schne
    0.60
    bringer
    0.60
     altogether
    0.59
    Activations Density 0.155%

    No Known Activations