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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. 6-RES-JB
    11. 2872
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Adventures
    -0.81
     Surv
    -0.72
    nat
    -0.66
    culus
    -0.64
     Eps
    -0.62
     plum
    -0.61
    Assembly
    -0.61
    odox
    -0.60
    noxious
    -0.59
    winter
    -0.59
    POSITIVE LOGITS
    urable
    0.95
     requesting
    0.90
     fulfilled
    0.85
    ļéĨĴ
    0.84
     requests
    0.82
     request
    0.81
     deadline
    0.80
     warrant
    0.79
     warrants
    0.78
     letter
    0.78
    Activations Density 0.064%

    No Known Activations