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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. 17055
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    oai_token-act-pair · gpt-3.5-turbo

    keywords related to authority and regulations

    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
    idth
    -0.84
    ortium
    -0.62
    bilt
    -0.57
    cohol
    -0.56
    \":
    -0.53
    haw
    -0.52
     converted
    -0.52
    arij
    -0.50
     Cath
    -0.50
     Sprint
    -0.49
    POSITIVE LOGITS
    )).
    0.64
    usercontent
    0.64
    '.
    0.64
    $.
    0.63
     dunno
    0.58
    TPS
    0.57
    RY
    0.57
     deems
    0.57
     cues
    0.56
    ãĤ¡
    0.55
    Activations Density 1.193%

    No Known Activations