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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. 3-RES-JB
    11. 5294
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    Explanations

    delivery-related information

    oai_token-act-pair · gpt-3.5-turbo

    structured data or information related to delivery and order processing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nikov
    -0.80
    heastern
    -0.78
    hov
    -0.76
    urat
    -0.75
    acci
    -0.72
    ollar
    -0.71
    urnal
    -0.71
    outheastern
    -0.70
    sylv
    -0.69
    nik
    -0.68
    POSITIVE LOGITS
     Extras
    0.77
     Kodi
    0.72
     EMS
    0.68
     Cert
    0.68
     Techniques
    0.66
     Section
    0.66
    Quality
    0.65
     GST
    0.65
     Removal
    0.65
     Verb
    0.65
    Activations Density 1.573%

    No Known Activations