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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. 7886
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    Explanations

    proper names of individuals or organizations

    oai_token-act-pair · gpt-3.5-turbo

    names and titles related to influential figures and key terms in various contexts

    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
     wik
    -0.59
     parap
    -0.59
     postage
    -0.59
     metabol
    -0.59
    bucks
    -0.58
    FontSize
    -0.57
    Redditor
    -0.57
    PLA
    -0.57
     mail
    -0.57
     Gutenberg
    -0.57
    POSITIVE LOGITS
    roup
    0.78
    hea
    0.75
    stant
    0.70
    icken
    0.68
    razen
    0.66
    regon
    0.65
    apan
    0.65
    arent
    0.64
    ITED
    0.64
    rified
    0.63
    Activations Density 0.207%

    No Known Activations