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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. 3400
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    oai_token-act-pair · gpt-3.5-turbo

    references to legislative measures or bills

    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
    aples
    -0.79
    elaide
    -0.78
    vae
    -0.74
    si
    -0.72
    oj
    -0.69
     Origins
    -0.67
     trad
    -0.67
    structed
    -0.67
    ovie
    -0.67
     Reserve
    -0.67
    POSITIVE LOGITS
     measure
    0.87
     Measure
    0.79
    hof
    0.75
    enance
    0.75
     measures
    0.74
    aire
    0.74
    measures
    0.74
    Measure
    0.73
    terday
    0.71
    arian
    0.71
    Activations Density 0.012%

    No Known Activations