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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. 4-RES-JB
    11. 4180
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    INDEX
    Explanations

    names of places and geographical directions

    oai_token-act-pair · gpt-3.5-turbo

    numeric expressions and numerical data

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

    No Comments

    Negative Logits
    wagen
    -0.88
    creen
    -0.77
    oulos
    -0.70
     Canaver
    -0.70
     Mellon
    -0.70
     Asheville
    -0.69
    rons
    -0.67
    rolet
    -0.64
     delegation
    -0.64
     Valiant
    -0.63
    POSITIVE LOGITS
    ________________________________________________________________
    1.07
    ------------------------
    0.98
    É
    0.96
    ********
    0.95
    ~~~~~~~~~~~~~~~~
    0.94
    ---------------
    0.94
    ****************
    0.94
    Ëľ
    0.93
    Ë
    0.92
    ________
    0.91
    Activations Density 0.006%

    No Known Activations