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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
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    words related to observatories

    oai_token-act-pair · gpt-3.5-turbo

    words related to observatories and observation in the context of astronomy

    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
    LOAD
    -0.72
     Yugoslavia
    -0.65
     Soup
    -0.61
     GDDR
    -0.60
    template
    -0.60
     Mechanical
    -0.59
     shale
    -0.58
    ãĥĨãĤ£
    -0.58
    Solid
    -0.58
     nutshell
    -0.57
    POSITIVE LOGITS
    atories
    1.30
     observ
    1.26
    atory
    1.17
    ables
    1.05
    antly
    0.94
    ances
    0.90
    omy
    0.89
    ations
    0.89
    ateur
    0.88
     Observ
    0.86
    Activations Density 0.009%

    No Known Activations