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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. 7068
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    Explanations

    words related to Electric Vehicles (EV) and Roman numerals used in titles

    oai_token-act-pair · gpt-3.5-turbo

    references to electric vehicles and their related terminology

    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
    ppo
    -0.82
    glers
    -0.76
    interstitial
    -0.74
    tenance
    -0.71
    ãĥĥãĥĪ
    -0.69
    dress
    -0.67
    emouth
    -0.66
    cliffe
    -0.65
    court
    -0.65
    fram
    -0.64
    POSITIVE LOGITS
    ENTS
    0.93
    OL
    0.92
    ISION
    0.92
    ENT
    0.91
    aped
    0.88
    OTE
    0.87
    GEN
    0.86
    RON
    0.86
    APE
    0.85
    idia
    0.84
    Activations Density 0.015%

    No Known Activations