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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. 4-RES-JB
    11. 2802
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    oai_token-act-pair · gpt-3.5-turbo

    URL patterns and formatting in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    BILITIES
    -0.65
     Wonderland
    -0.65
     gorilla
    -0.62
     Trails
    -0.60
    ãĥĥãĥī
    -0.58
     halluc
    -0.57
     Proposition
    -0.57
     reprint
    -0.57
     veget
    -0.57
     defic
    -0.56
    POSITIVE LOGITS
    \-
    0.80
    shirts
    0.78
    yll
    0.78
    asty
    0.77
    shirt
    0.76
    Ir
    0.74
    nel
    0.70
    ss
    0.69
    EO
    0.69
    Eng
    0.67
    Activations Density 0.077%

    No Known Activations