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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. 8-RES-JB
    11. 24113
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    Explanations

    strings of numbers separated by punctuation marks

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data or references to measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dor
    -0.69
    ãĥķãĤ©
    -0.66
    ocrats
    -0.59
     Joshua
    -0.58
     graphene
    -0.58
    ocracy
    -0.58
     Titan
    -0.57
     Transparency
    -0.57
     Breaking
    -0.56
     Boyd
    -0.55
    POSITIVE LOGITS
    verages
    0.85
    othal
    0.72
    raphics
    0.72
    mond
    0.68
    aga
    0.67
    pun
    0.66
    etheless
    0.66
    andan
    0.66
    utterstock
    0.65
     externalToEVAOnly
    0.65
    Activations Density 0.154%

    No Known Activations