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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. 23701
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    Explanations

    phrases related to media appearances and interviews

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to interviews and discussions

    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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     casualties
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    POSITIVE LOGITS
     interview
    1.45
     tweet
    1.21
     conversation
    1.09
     deposition
    1.07
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    1.06
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    1.05
     sermon
    1.05
     nutshell
    1.00
     podcast
    1.00
     chat
    0.99
    Activations Density 0.182%

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