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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. 9-RES-JB
    11. 14245
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    Explanations

    periods or decimal numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to percentages and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     parach
    -0.65
     beauty
    -0.61
     stre
    -0.58
     blurry
    -0.58
     carn
    -0.57
     liberating
    -0.57
     beaut
    -0.57
     safety
    -0.56
     adrenaline
    -0.56
     strut
    -0.55
    POSITIVE LOGITS
    5
    1.41
    7
    1.30
    6
    1.30
    8
    1.29
    75
    1.26
    9
    1.23
    4
    1.21
    25
    1.21
    06
    1.20
    3
    1.18
    Activations Density 0.076%

    No Known Activations