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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 6325
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    Explanations

    names of people or companies

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals or entities, particularly those in notable positions or roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PDATE
    -0.66
     precursor
    -0.65
    Quantity
    -0.64
     millenn
    -0.63
    ß
    -0.61
     veter
    -0.60
     omega
    -0.59
    Ü
    -0.59
     AAA
    -0.58
    dfx
    -0.57
    POSITIVE LOGITS
     testified
    0.89
    enegger
    0.88
     admits
    0.88
     County
    0.86
     says
    0.85
    's
    0.85
     acknowledges
    0.84
    meier
    0.82
     agrees
    0.82
     concedes
    0.82
    Activations Density 0.316%

    No Known Activations