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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. 334
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    INDEX
    Explanations

    places or locations

    oai_token-act-pair · gpt-3.5-turbo

    locations described throughout the text

    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
    -0.68
    ³³³³³³³³
    -0.66
    wu
    -0.62
     squeeze
    -0.61
     Doctrine
    -0.61
    ³³³
    -0.61
    yi
    -0.60
     spect
    -0.58
    ets
    -0.57
     Beasts
    -0.56
    POSITIVE LOGITS
    upon
    1.40
    abouts
    1.29
    soever
    1.09
    fore
    1.07
    artment
    0.77
    verages
    0.71
    acan
    0.71
     houses
    0.71
    ver
    0.71
    with
    0.71
    Activations Density 0.064%

    No Known Activations