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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. 6774
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    Explanations

    percentages or numerical values specified with quantifiers like 'less than' or 'around'

    oai_token-act-pair · gpt-3.5-turbo

    quantitative comparisons or measurements

    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
    akeru
    -0.57
     proble
    -0.55
    inventoryQuantity
    -0.54
    zeb
    -0.54
     FANTASY
    -0.54
    insula
    -0.53
    Opening
    -0.53
     horizont
    -0.52
     endings
    -0.52
     trave
    -0.51
    POSITIVE LOGITS
     0
    0.94
     tenth
    0.80
     âĪ¼
    0.78
     âī
    0.76
     half
    0.75
     fractions
    0.74
     10
    0.74
    fif
    0.73
     500
    0.72
     5
    0.71
    Activations Density 0.258%

    No Known Activations