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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. 16136
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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 @ 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
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.93
    orio
    -0.74
     Amend
    -0.71
    orsche
    -0.70
    ITNESS
    -0.68
     Kard
    -0.68
     Cyber
    -0.67
    ixel
    -0.66
    rehend
    -0.66
    laus
    -0.65
    POSITIVE LOGITS
     shipments
    1.33
     imports
    1.15
     exports
    1.15
     production
    1.14
     shipment
    1.10
     consumption
    1.08
     stockp
    1.08
     cultivation
    1.07
     farming
    1.07
     harvest
    1.06
    Activations Density 0.292%

    No Known Activations