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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. 9-RES-JB
    6. 9612
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    Explanations

    words related to opportunities or chances

    oai_token-act-pair · gpt-3.5-turbo

    terms related to opportunities and flexibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Cth
    -0.66
     spills
    -0.59
    ARA
    -0.58
    anish
    -0.58
     seams
    -0.58
     depths
    -0.58
     occurrences
    -0.57
    yout
    -0.56
    ARS
    -0.55
     Warehouse
    -0.55
    POSITIVE LOGITS
    thood
    0.89
     opportunity
    0.78
     chance
    0.76
     choice
    0.73
    freedom
    0.73
    ãĥİ
    0.69
    license
    0.68
    vik
    0.66
     pretext
    0.65
     creeps
    0.65
    Activations Density 0.361%

    No Known Activations