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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. 7-RES-JB
    11. 8786
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    ertodd
    -0.74
    venants
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    orporated
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    umbn
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     Voting
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     Stellar
    -0.66
     Baghd
    -0.65
     IOC
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     Citizens
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    POSITIVE LOGITS
    stall
    0.92
     cooks
    0.89
     stove
    0.88
    washer
    0.84
    cook
    0.83
    books
    0.83
    Recipe
    0.82
     meals
    0.82
     cook
    0.81
    Cook
    0.81
    Activations Density 0.029%

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