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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. 24134
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuated lists or phrases

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    rou
    -0.59
    MpServer
    -0.56
    ÅĤ
    -0.56
    DAY
    -0.55
    COM
    -0.55
    vale
    -0.55
    STEP
    -0.53
    aukee
    -0.53
    DI
    -0.52
    angu
    -0.52
    POSITIVE LOGITS
     moreover
    1.35
     unlike
    1.28
     however
    1.20
     alas
    1.18
     meanwhile
    1.15
     therefore
    1.13
     furthermore
    1.12
     incidentally
    1.07
     insofar
    1.03
     unsurprisingly
    1.00
    Activations Density 0.188%

    No Known Activations