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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. 17155
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    Explanations

    quotations within sentences

    oai_token-act-pair · gpt-3.5-turbo

    quotations or dialogue in the text

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    No Comments

    Negative Logits
    etheless
    -0.84
     cryst
    -0.72
     spons
    -0.70
    £ı
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    ~~~~
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     tremend
    -0.67
     overc
    -0.67
     privile
    -0.65
     paran
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     contrace
    -0.64
    POSITIVE LOGITS
     said
    1.39
    said
    1.18
     says
    1.15
     tweeted
    1.12
     reads
    1.08
     he
    1.07
     wrote
    1.06
     joked
    1.05
     she
    1.00
     exclaimed
    0.99
    Activations Density 0.093%

    No Known Activations