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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. 11-RES-JB
    11. 4221
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    Explanations

    specific locations or places mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or coordinates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uster
    -0.74
    squ
    -0.72
    igan
    -0.72
    flow
    -0.71
    icer
    -0.70
    aldi
    -0.69
    luaj
    -0.68
    missions
    -0.68
    rome
    -0.68
    ricular
    -0.68
    POSITIVE LOGITS
     locations
    0.96
     location
    0.88
     nearest
    0.84
     where
    0.82
     locate
    0.79
     scout
    0.79
    finder
    0.77
     closest
    0.77
     landmarks
    0.74
    abouts
    0.74
    Activations Density 0.087%

    No Known Activations