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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. 3-RES-JB
    11. 1749
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to directory structures or file organization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Beir
    -0.63
    deen
    -0.62
    drug
    -0.61
     funer
    -0.59
    女
    -0.59
    AIDS
    -0.57
    osterone
    -0.56
    women
    -0.56
    outhern
    -0.56
     Tanz
    -0.55
    POSITIVE LOGITS
     recursive
    0.93
     JSON
    0.92
     plugin
    0.88
     GUI
    0.86
     XML
    0.86
     deprecated
    0.84
     Python
    0.84
     debug
    0.83
     default
    0.83
     compute
    0.82
    Activations Density 2.371%

    No Known Activations