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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. 6-RES-JB
    6. 16551
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    Explanations

    terms related to drafting and proposing official documents or laws

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "draft" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     destro
    -0.93
    hips
    -0.86
     charism
    -0.84
     fortun
    -0.72
    tics
    -0.72
    cles
    -0.70
    respect
    -0.70
    cipl
    -0.69
    cellence
    -0.66
    eno
    -0.66
    POSITIVE LOGITS
    smanship
    1.58
    Kings
    1.03
     draft
    0.78
     drafts
    0.78
     dod
    0.77
     muster
    0.73
     outline
    0.67
    lings
    0.64
     PowerPoint
    0.64
     dra
    0.63
    Activations Density 0.020%

    No Known Activations