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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. 7-RES-JB
    11. 9960
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    Explanations

    terms related to employment, job creation, and loss

    oai_token-act-pair · gpt-3.5-turbo

    terms related to employment and job statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesday
    -0.81
    IUM
    -0.79
    psons
    -0.78
    20439
    -0.78
    hips
    -0.77
     Poe
    -0.72
    cale
    -0.69
    cies
    -0.69
    JA
    -0.68
    ndum
    -0.68
    POSITIVE LOGITS
     suppression
    0.87
    lessness
    0.83
     stability
    0.83
     chang
    0.81
     modification
    0.81
     creation
    0.80
     abandonment
    0.79
     identification
    0.79
     protection
    0.78
     growth
    0.78
    Activations Density 0.448%

    No Known Activations