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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. 5927
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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
     respons
    -0.70
     itiner
    -0.64
     BART
    -0.62
     credential
    -0.62
     presenting
    -0.61
     inciting
    -0.60
     childcare
    -0.59
     orchestr
    -0.59
     airing
    -0.58
     maternity
    -0.58
    POSITIVE LOGITS
    maxwell
    1.11
    xc
    0.91
    jac
    0.90
    wm
    0.87
    cd
    0.86
    Ther
    0.84
    xd
    0.84
    vm
    0.84
    RFC
    0.83
    cm
    0.83
    Activations Density 0.066%

    No Known Activations