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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. 5-RES-JB
    6. 24519
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    Explanations

    terms related to skills, expertise, ideas, and behaviors

    oai_token-act-pair · gpt-3.5-turbo

    terms related to expertise and professional skills

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    $.
    -0.70
    omever
    -0.69
     oneself
    -0.68
    !.
    -0.64
    QUIRE
    -0.64
    orks
    -0.64
    È
    -0.63
    endez
    -0.61
    Common
    -0.61
     Pearce
    -0.59
    POSITIVE LOGITS
     consisted
    0.93
     consists
    0.88
     woes
    0.82
     differs
    0.74
     revolves
    0.73
     encompasses
    0.72
     companion
    0.72
     rede
    0.71
     boils
    0.71
     extends
    0.70
    Activations Density 0.494%

    No Known Activations