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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. 6-RES-JB
    11. 11625
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    Explanations

    locations and distances

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating physical distances from specific locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BT
    -0.75
    rix
    -0.73
    oy
    -0.72
    Ĥª
    -0.70
    cn
    -0.70
    Corn
    -0.69
    few
    -0.69
    tailed
    -0.69
    imil
    -0.67
    ropy
    -0.67
    POSITIVE LOGITS
     afar
    1.00
     whence
    0.82
     sunrise
    0.79
     thence
    0.78
     sunset
    0.76
     headquarters
    0.74
     noon
    0.72
     anywhere
    0.71
     nearest
    0.71
     Starbucks
    0.71
    Activations Density 0.061%

    No Known Activations