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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
    11. 9745
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    Explanations

    phrases related to full-time employment or positions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to full-time employment and job status

    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
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    Negative Logits
     retribution
    -0.66
    wolves
    -0.65
    ubi
    -0.63
     Phi
    -0.63
     Krish
    -0.62
     Decay
    -0.62
    gat
    -0.61
     mete
    -0.59
     perman
    -0.58
     millisec
    -0.58
    POSITIVE LOGITS
    pection
    0.75
    folio
    0.73
    naissance
    0.71
    ortment
    0.68
    heartedly
    0.67
    ESSION
    0.67
    eatured
    0.66
    DragonMagazine
    0.66
    Required
    0.66
    lege
    0.64
    Activations Density 0.247%

    No Known Activations