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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. 11-RES-JB
    11. 4232
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    Explanations

    verbs related to actions or processes

    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 @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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     ÂŃ
    -0.70
     Aren
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     practically
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     Tsu
    -0.54
     Chambers
    -0.53
     Frie
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     Army
    -0.53
     Bureau
    -0.52
     Beir
    -0.52
    POSITIVE LOGITS
    ername
    0.85
    Login
    0.78
     guiActiveUnfocused
    0.77
    your
    0.76
    Offline
    0.74
    _
    0.74
    ():
    0.72
    topic
    0.72
    yon
    0.72
    xit
    0.72
    Activations Density 0.163%

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