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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. 1880
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    Explanations

    terms related to job creation and losses

    oai_token-act-pair · gpt-3.5-turbo

    references to job creation and job loss

    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
     Oo
    -0.85
    anwhile
    -0.79
     Flavoring
    -0.71
     Bulg
    -0.71
    orp
    -0.67
    ague
    -0.67
    theless
    -0.65
    regular
    -0.64
     curv
    -0.64
     Riy
    -0.63
    POSITIVE LOGITS
    seekers
    0.84
    anooga
    0.83
    jobs
    0.83
    job
    0.80
    lif
    0.78
     postings
    0.77
     jobs
    0.76
     Maker
    0.75
     listings
    0.74
     unemploy
    0.74
    Activations Density 0.032%

    No Known Activations