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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. 759
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    words related to academic tasks or work assignments

    oai_token-act-pair · gpt-3.5-turbo

    references to assignments

    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
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    Negative Logits
    vae
    -0.77
    gling
    -0.75
    Ïī
    -0.71
    aud
    -0.69
    birth
    -0.66
    ells
    -0.66
    Mi
    -0.65
    audi
    -0.65
    aum
    -0.65
    ASE
    -0.64
    POSITIVE LOGITS
     assignment
    1.08
     Assignment
    0.96
     assignments
    0.91
    ignment
    0.82
    eering
    0.78
     NEC
    0.74
    ointed
    0.74
    xual
    0.73
    naire
    0.70
     TAMADRA
    0.69
    Activations Density 0.015%

    No Known Activations