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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. 3-RES-JB
    11. 15936
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    INDEX
    Explanations

    phrases related to printed material

    oai_token-act-pair · gpt-3.5-turbo

    references to print media

    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
    rolet
    -0.75
     Ashton
    -0.73
    hov
    -0.67
    udic
    -0.66
    ateral
    -0.65
    rian
    -0.64
    odka
    -0.64
    ofi
    -0.63
    addons
    -0.63
    ampton
    -0.62
    POSITIVE LOGITS
     print
    1.02
    print
    0.96
     prints
    0.96
     Print
    0.87
    outs
    0.86
    prints
    0.85
    rint
    0.84
    Print
    0.82
     printing
    0.80
     printed
    0.79
    Activations Density 0.015%

    No Known Activations