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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. 1956
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    INDEX
    Explanations

    references to specific media channels or networks

    oai_token-act-pair · gpt-3.5-turbo

    references to television networks and shows

    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
    iasis
    -1.04
    olulu
    -0.77
    heid
    -0.71
    ogy
    -0.70
    arial
    -0.69
    antly
    -0.69
    staking
    -0.69
    emort
    -0.67
    raged
    -0.67
    ority
    -0.65
    POSITIVE LOGITS
    trop
    0.94
    NT
    0.89
    KI
    0.88
    OULD
    0.87
    OW
    0.87
    ND
    0.86
    CW
    0.86
    soDeliveryDate
    0.83
    RC
    0.82
    VR
    0.82
    Activations Density 0.017%

    No Known Activations