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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. 0-RES-JB
    11. 5157
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    Explanations

    phrases related to network configuration and routing

    oai_token-act-pair · gpt-3.5-turbo

    technical terms related to networking protocols and DHCP functionality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    afe
    -0.79
    alle
    -0.76
    bench
    -0.71
    ulner
    -0.66
    urd
    -0.65
     Yar
    -0.64
    lde
    -0.62
    ldom
    -0.61
     Rating
    -0.60
    opia
    -0.60
    POSITIVE LOGITS
     cones
    0.66
     iod
    0.66
    ī
    0.64
     DHCP
    0.62
     teeth
    0.62
     oval
    0.61
     assignment
    0.61
     slab
    0.60
    tnc
    0.59
    itone
    0.59
    Activations Density 0.001%

    No Known Activations