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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. 6544
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    Explanations

    phrases associated with high numbers and technical terms

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific character or symbol (likely related to currency or a special notation)

    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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    No Comments

    Negative Logits
    cius
    -0.76
    otine
    -0.75
    wagen
    -0.75
    ulhu
    -0.71
    unks
    -0.68
    aimon
    -0.67
     sqor
    -0.66
    ici
    -0.66
    ÃŃa
    -0.65
     NX
    -0.65
    POSITIVE LOGITS
    âĢ¢âĢ¢âĢ¢âĢ¢
    0.98
    £
    0.89
    âĢ¢âĢ¢
    0.82
    there
    0.81
    tem
    0.81
    ··
    0.80
    ¢
    0.80
    cour
    0.80
    coll
    0.80
    feat
    0.78
    Activations Density 0.006%

    No Known Activations