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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. 10-RES-JB
    11. 6313
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Archdemon
    -0.85
     printer
    -0.76
     printers
    -0.72
     Burnett
    -0.70
     Ragnar
    -0.67
     Hendricks
    -0.67
     range
    -0.66
     Syd
    -0.66
     Ames
    -0.65
     collabor
    -0.64
    POSITIVE LOGITS
    cause
    1.48
    Mech
    1.43
    Interstitial
    1.33
    til
    1.27
    MpServer
    1.25
    tis
    1.23
    taboola
    1.21
    Cause
    1.12
    keeper
    1.06
    round
    1.05
    Activations Density 0.042%

    No Known Activations