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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. 7-RES-JB
    11. 14118
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    INDEX
    Explanations

    the word "beginning" or locations related to top or bottom

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating positional context within a text

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    avorite
    -0.70
    ratulations
    -0.67
    ortium
    -0.66
    osponsors
    -0.66
    ropolitan
    -0.64
     neighbours
    -0.64
    theless
    -0.63
     spores
    -0.63
    fw
    -0.62
     fellows
    -0.61
    POSITIVE LOGITS
     table
    0.84
     behest
    0.81
    side
    0.79
     end
    0.77
    mast
    0.72
    hesis
    0.71
     level
    0.71
     helm
    0.70
    point
    0.70
     apiece
    0.69
    Activations Density 0.095%

    No Known Activations