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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. 9-RES-JB
    11. 5961
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    Explanations

    words related to verification and truth

    oai_token-act-pair · gpt-3.5-turbo

    terms related to verification or authenticity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ered
    -0.71
     Rh
    -0.66
     undergoing
    -0.62
     projecting
    -0.62
     resid
    -0.60
     watching
    -0.60
    âķIJ
    -0.60
     experimenting
    -0.60
     adjusting
    -0.59
     Ones
    -0.59
    POSITIVE LOGITS
    itable
    1.40
    itably
    1.31
    ifiable
    1.26
    bat
    1.05
    ulent
    0.97
    iously
    0.94
    acity
    0.92
    ulence
    0.92
    anda
    0.91
    gence
    0.90
    Activations Density 0.033%

    No Known Activations