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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. 3460
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    Explanations

    references to job-related terms and concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to employment and jobs

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Oo
    -0.76
     Jamaica
    -0.69
    åħī
    -0.65
    ModLoader
    -0.63
     EDITION
    -0.63
    anwhile
    -0.63
    reek
    -0.63
     amplification
    -0.63
    quished
    -0.62
     exponent
    -0.62
    POSITIVE LOGITS
     Job
    0.93
    seys
    0.92
     Simulator
    0.89
    assian
    0.78
    job
    0.77
    hov
    0.73
    onom
    0.73
    bers
    0.72
    amiya
    0.71
    ession
    0.71
    Activations Density 0.021%

    No Known Activations