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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. 11272
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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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    Negative Logits
    ternity
    -0.65
    oute
    -0.65
    ¹
    -0.61
    tera
    -0.59
    ãģĨ
    -0.58
    ãĥīãĥ©ãĤ´ãĥ³
    -0.58
    catentry
    -0.57
    UNE
    -0.57
    alis
    -0.56
    oho
    -0.55
    POSITIVE LOGITS
     with
    1.63
    with
    1.49
     WITH
    1.43
     withd
    1.39
     without
    1.33
    without
    1.29
     With
    1.29
    WithNo
    1.28
    With
    1.25
     WITHOUT
    1.12
    Activations Density 0.152%

    No Known Activations