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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. 23931
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
     mathemat
    -0.76
    Ô
    -0.72
     arrang
    -0.72
    OX
    -0.67
    grain
    -0.66
    Thumbnail
    -0.66
     Grind
    -0.65
    ãĥķãĤ©
    -0.65
    uberty
    -0.64
    ãĥ¥
    -0.64
    POSITIVE LOGITS
    people
    1.12
    ees
    1.01
     peoples
    1.00
    tarians
    0.98
    goers
    0.97
     fellows
    0.96
     persons
    0.96
    ians
    0.96
    arians
    0.95
    ers
    0.94
    Activations Density 0.447%

    No Known Activations