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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. 8-RES-JB
    11. 10155
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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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     commissions
    -0.64
     draws
    -0.63
     Riley
    -0.61
     crossover
    -0.60
     assignments
    -0.60
     connection
    -0.60
     manif
    -0.60
     succession
    -0.59
    agall
    -0.59
     visitation
    -0.58
    POSITIVE LOGITS
    оÐ
    1.09
    ÑĢ
    1.09
    л
    1.04
    ÙĨ
    1.02
    е
    1.00
    Ñĥ
    0.99
    ÙĪ
    0.99
    اÙĦ
    0.99
    ¬
    0.99
    Ù
    0.97
    Activations Density 0.040%

    No Known Activations