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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. 19853
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    Explanations

    specific requirements or criteria mentioned in texts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that discuss specific conditions or criteria that must be adhered to

    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
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    Negative Logits
    vironment
    -0.74
    lique
    -0.69
    stocks
    -0.69
    oyd
    -0.68
    nect
    -0.68
    ateur
    -0.66
    irl
    -0.65
    apest
    -0.65
     puff
    -0.64
    attery
    -0.64
    POSITIVE LOGITS
     imposed
    1.05
     requirements
    1.02
     Compliance
    1.01
     criteria
    0.97
     compliance
    0.93
     requirement
    0.82
    irements
    0.80
     Requirements
    0.80
     apply
    0.77
    igslist
    0.77
    Activations Density 0.043%

    No Known Activations