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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. 5798
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    Explanations

    words related to scientific, technical, or analytical contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the end of sequences or document boundaries

    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
     Defenders
    -0.83
     Companion
    -0.82
     Mellon
    -0.82
     Immunity
    -0.74
     Elves
    -0.72
     Healer
    -0.72
     Balanced
    -0.71
     Investigator
    -0.69
     Hale
    -0.69
     Standards
    -0.69
    POSITIVE LOGITS
    ve
    0.99
    rill
    0.96
    vern
    0.95
    gey
    0.95
    vel
    0.94
    vey
    0.92
    vered
    0.91
    reating
    0.91
    oming
    0.91
    reprene
    0.89
    Activations Density 0.161%

    No Known Activations