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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. 6-RES-JB
    11. 4370
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     spoilers
    -0.64
    mort
    -0.62
    BuyableInstoreAndOnline
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    Bey
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     hypers
    -0.61
     identifiable
    -0.61
     suspicion
    -0.60
    PATH
    -0.59
    width
    -0.59
     Blooming
    -0.58
    POSITIVE LOGITS
    swick
    0.87
    enhagen
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    ittees
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    ãĥĥãĥī
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    akeru
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    ensical
    0.71
    reau
    0.71
    lus
    0.69
    ãĥ¼ãĤ¯
    0.69
    geist
    0.68
    Activations Density 0.085%

    No Known Activations