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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. 6-RES-JB
    11. 17479
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     tremend
    -0.75
    ãĥ´ãĤ¡
    -0.73
    awaru
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    κ
    -0.70
     è£ı
    -0.69
    yip
    -0.68
    ãĥį
    -0.66
    Bey
    -0.65
    DEM
    -0.64
    ãĤ®
    -0.64
    POSITIVE LOGITS
    osures
    1.09
    avier
    1.03
    osing
    1.01
    oser
    0.96
    othes
    0.96
    arent
    0.93
    ipper
    0.92
    uster
    0.91
    utch
    0.89
    iff
    0.89
    Activations Density 0.017%

    No Known Activations