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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. 7284
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    Explanations

    mentions of high-end products or services

    oai_token-act-pair · gpt-3.5-turbo
    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
    ichick
    -0.80
    pload
    -0.79
    leader
    -0.75
    zai
    -0.74
    icable
    -0.72
    REDACTED
    -0.71
    atoon
    -0.70
    oother
    -0.69
    rek
    -0.68
    chwitz
    -0.68
    POSITIVE LOGITS
    urance
    1.03
     earners
    0.90
     discretionary
    0.88
     consumer
    0.85
    uries
    0.83
     gadgets
    0.77
     gadget
    0.75
     hardware
    0.75
     equivalents
    0.74
     boutique
    0.74
    Activations Density 0.027%

    No Known Activations