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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. 3-RES-JB
    6. 12262
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    INDEX
    Explanations

    names of a specific company, GE

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company GE

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gettable
    -0.82
    kefeller
    -0.79
    olulu
    -0.76
    ãĤ±
    -0.76
    ties
    -0.73
    iqueness
    -0.72
    ities
    -0.72
     Dragonbound
    -0.69
    hift
    -0.69
    fired
    -0.68
    POSITIVE LOGITS
    ORGE
    1.53
    ICO
    1.01
    ARY
    1.01
    OM
    0.93
    ARCH
    0.92
    FILE
    0.90
    hog
    0.84
    LE
    0.82
    VERS
    0.82
    OLOG
    0.81
    Activations Density 0.008%

    No Known Activations