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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. 7-RES-JB
    11. 2716
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hovah
    -0.66
    razil
    -0.60
    anwhile
    -0.58
    obal
    -0.57
    ò
    -0.53
    ÃĥÃĤ
    -0.52
     withd
    -0.52
    rowth
    -0.51
    Ý
    -0.51
     pione
    -0.51
    POSITIVE LOGITS
    BIP
    0.64
     BlackBerry
    0.55
     whiff
    0.53
     Xperia
    0.51
    kowski
    0.51
     OnePlus
    0.50
     quietly
    0.49
     reliever
    0.49
     handset
    0.49
    Enlarge
    0.48
    Activations Density 1.692%

    No Known Activations