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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. 8-RES-JB
    6. 16068
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    Explanations

    terms related to agricultural practices or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to rows in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãĥ¤
    -0.86
    merce
    -0.79
     Rouhani
    -0.73
     mathemat
    -0.67
    urated
    -0.65
    ovie
    -0.65
    ural
    -0.64
    ORTS
    -0.63
     competence
    -0.63
    phrine
    -0.62
    POSITIVE LOGITS
    dy
    1.38
    dies
    1.34
    nd
    0.94
    boat
    0.94
    boats
    0.84
    cars
    0.83
    een
    0.83
    ser
    0.82
    away
    0.82
    feed
    0.81
    Activations Density 0.031%

    No Known Activations