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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. 13442
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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

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    Negative Logits
    icago
    -0.68
     Galile
    -0.67
     Aber
    -0.65
    irgin
    -0.61
     Pagan
    -0.59
    ILLE
    -0.58
     Ratt
    -0.57
     Advocate
    -0.57
     Aram
    -0.56
     merry
    -0.56
    POSITIVE LOGITS
    ening
    1.32
    erv
    1.21
    ener
    1.20
    eners
    1.16
    icles
    0.94
    enable
    0.91
    ings
    0.90
    ened
    0.90
    icle
    0.88
    erve
    0.87
    Activations Density 0.043%

    No Known Activations