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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. 9-RES-JB
    11. 3418
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    Explanations

    contact information, typically in the format of phone numbers and email addresses

    oai_token-act-pair · gpt-3.5-turbo

    sequences of numbers, particularly in the context of contact information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     footing
    -0.64
     Yus
    -0.60
     Phi
    -0.60
     topping
    -0.60
     crunch
    -0.58
     fray
    -0.58
     reckoning
    -0.58
     stacking
    -0.56
     direction
    -0.56
     licking
    -0.56
    POSITIVE LOGITS
    INFO
    0.85
    232
    0.84
    222
    0.79
    255
    0.79
    Spect
    0.77
    323
    0.77
    abee
    0.77
    662
    0.76
    225
    0.76
    319
    0.75
    Activations Density 0.027%

    No Known Activations