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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 7513
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    Explanations

    large numbers in a specific sequence

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or statistics

    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
    rolet
    -0.92
     Palest
    -0.86
    Connector
    -0.80
    èª
    -0.76
    éĹĺ
    -0.75
    OPLE
    -0.73
    theless
    -0.71
    hement
    -0.67
     TAMADRA
    -0.66
    plot
    -0.66
    POSITIVE LOGITS
    ourney
    0.67
    uctions
    0.65
     ##
    0.59
    inges
    0.58
     Deaths
    0.57
    anson
    0.57
    itures
    0.56
    unt
    0.56
    teness
    0.56
     Bundy
    0.56
    Activations Density 0.062%

    No Known Activations