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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. 498
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    Explanations

    references to the source or origin of information or materials

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of sources or origin

    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
    aeper
    -0.90
    ellen
    -0.80
    Ħ¢
    -0.78
    ipop
    -0.70
    achine
    -0.70
    nesday
    -0.69
    awks
    -0.68
    eer
    -0.67
    wagen
    -0.67
    pecting
    -0.65
    POSITIVE LOGITS
    Fed
    0.97
     sources
    0.96
    source
    0.91
    books
    0.88
     source
    0.87
    finding
    0.87
     Sources
    0.81
    ources
    0.81
    forge
    0.78
    book
    0.77
    Activations Density 0.026%

    No Known Activations