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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. 5155
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    INDEX
    Explanations

    instances where a list is presented

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions used to introduce additional information

    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
    mage
    -0.69
    youtu
    -0.69
    arch
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    ione
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    lev
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    cel
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    rio
    -0.64
    commit
    -0.64
    jam
    -0.63
    romancer
    -0.62
    POSITIVE LOGITS
     moreover
    0.81
     namely
    0.72
     however
    0.71
     cumbers
    0.65
     besides
    0.65
     anecd
    0.63
     inventions
    0.62
     pressing
    0.59
     there
    0.59
     Saving
    0.58
    Activations Density 0.188%

    No Known Activations