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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. 11767
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    Explanations

    phrases indicating a purpose or intention to do something specific

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating purpose or intention

    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
     Leaves
    -0.64
     Sources
    -0.64
     Classification
    -0.64
    Ī
    -0.62
     Width
    -0.61
     airs
    -0.60
    CNN
    -0.60
    Already
    -0.59
     NCT
    -0.59
     Accounts
    -0.58
    POSITIVE LOGITS
     celebrate
    0.99
    brate
    0.92
     defend
    0.87
     conserve
    0.85
     help
    0.83
     promote
    0.82
     nurture
    0.80
     assist
    0.79
     uphold
    0.79
    bernatorial
    0.78
    Activations Density 0.133%

    No Known Activations