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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. 10-RES-JB
    11. 4721
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ĻĤ
    -0.72
    ļéĨĴ
    -0.71
     Rite
    -0.67
    ¥µ
    -0.67
     crest
    -0.64
     infiltrated
    -0.63
     ads
    -0.62
    HCR
    -0.62
    Redditor
    -0.61
    ĨĴ
    -0.60
    POSITIVE LOGITS
    lessly
    1.50
    lessness
    1.32
    oner
    1.11
    oning
    1.09
    ons
    1.01
    ledge
    0.95
    respons
    0.86
    oned
    0.85
    aging
    0.81
    fulness
    0.81
    Activations Density 0.055%

    No Known Activations