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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. 6085
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    Explanations

    the name "Johansen"

    oai_token-act-pair · gpt-3.5-turbo

    the name "John" in various contexts

    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
    dress
    -0.82
     subsistence
    -0.75
    PLIED
    -0.74
    holders
    -0.70
    intendent
    -0.66
    ranean
    -0.65
     compr
    -0.64
    BOOK
    -0.64
     constrained
    -0.63
    ©¶æ
    -0.63
    POSITIVE LOGITS
    ansson
    1.27
    ansen
    1.27
    ani
    1.05
    anes
    0.99
    sin
    0.94
    annah
    0.93
    onen
    0.93
     Joh
    0.91
    anna
    0.90
    ans
    0.90
    Activations Density 0.016%

    No Known Activations