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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. 9748
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    Explanations

    references to a specific place named "Grove" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to specific geographic locations

    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
     stripes
    -0.78
    quer
    -0.73
     gu
    -0.68
     ransom
    -0.66
     grap
    -0.61
    eree
    -0.60
    sheet
    -0.60
    sy
    -0.59
    TF
    -0.59
     stocks
    -0.59
    POSITIVE LOGITS
     Grove
    2.72
     Bend
    2.40
     Heights
    1.82
     Rapids
    1.75
     Township
    1.56
     Oaks
    1.50
     Prairie
    1.44
     Arbor
    1.41
     Springs
    1.39
     Junction
    1.36
    Activations Density 0.019%

    No Known Activations