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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 12291
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    Explanations

    words related to collaborations or partnerships as indicated by terms such as "co-founder," "co-host," and "co-creator."

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to collaboration and teamwork

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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     peninsula
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    -0.62
     moot
    -0.62
    ovych
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     PRES
    -0.60
     contem
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    POSITIVE LOGITS
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    0.75
    earcher
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    uay
    0.70
    erto
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    usting
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    interstitial
    0.69
    Activations Density 0.135%

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