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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
    11. 4737
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    Explanations

    references to minimum wage and levels below a certain standard

    oai_token-act-pair · gpt-3.5-turbo

    references to minimum wage or minimum standards

    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
    isbury
    -0.72
    wagen
    -0.70
     undone
    -0.69
    ibo
    -0.69
    ung
    -0.65
    inspired
    -0.65
    selves
    -0.65
    friend
    -0.64
    iband
    -0.63
    laden
    -0.63
    POSITIVE LOGITS
     minimum
    3.76
    minimum
    2.98
     Minimum
    2.80
    Minimum
    2.49
     maximum
    2.02
    maximum
    1.69
     minimal
    1.50
    Maximum
    1.48
     Maximum
    1.40
     median
    1.30
    Activations Density 0.006%

    No Known Activations