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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. 0-RES-JB
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    Explanations

    mentions of employers

    oai_token-act-pair · gpt-3.5-turbo

    references to employers and their roles in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Clone
    -0.68
    qi
    -0.66
    morph
    -0.65
    jam
    -0.64
     Doomsday
    -0.63
     Lights
    -0.61
    gypt
    -0.60
    ENA
    -0.59
    onics
    -0.58
    OVA
    -0.57
    POSITIVE LOGITS
     employers
    3.76
     employer
    3.19
     Employ
    2.35
     workplaces
    1.96
    Employ
    1.75
     landlords
    1.73
    employ
    1.69
     employment
    1.68
     workplace
    1.67
     bosses
    1.53
    Activations Density 0.026%

    No Known Activations