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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. 18175
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to policy, research, and governance

    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
    owship
    -0.81
    usercontent
    -0.76
     Wonderland
    -0.73
    azo
    -0.71
    comfort
    -0.67
    gyn
    -0.67
    Jr
    -0.66
    undreds
    -0.65
    elaide
    -0.64
    dor
    -0.63
    POSITIVE LOGITS
     Implementation
    0.79
     implementing
    0.72
     curric
    0.70
     ACTIONS
    0.69
     Directive
    0.69
     checklist
    0.67
     governing
    0.67
     implementation
    0.66
     allocate
    0.66
     pars
    0.66
    Activations Density 0.421%

    No Known Activations