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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. 2-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    gur
    -0.69
    cum
    -0.69
    quer
    -0.67
    heed
    -0.66
    agan
    -0.66
    ciating
    -0.64
     waged
    -0.63
    carry
    -0.63
    istries
    -0.63
    venge
    -0.63
    POSITIVE LOGITS
     notes
    0.85
     noted
    0.81
     deductions
    0.78
     noting
    0.76
     deduction
    0.73
    unct
    0.72
     discrepancies
    0.67
    WER
    0.66
     è£ıè
    0.66
     Schiff
    0.66
    Activations Density 0.021%

    No Known Activations