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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. 7-RES-JB
    11. 21662
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    Explanations

    Mentions of cooking instructions related to pre-heating ovens

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter "M" in multiple contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mechdragon
    -0.66
     foul
    -0.65
     yours
    -0.64
     hottest
    -0.64
     tips
    -0.64
     Eleven
    -0.64
     vacant
    -0.62
     Mellon
    -0.62
     slack
    -0.62
     Hobbit
    -0.61
    POSITIVE LOGITS
    OST
    1.21
    useum
    1.17
    ixed
    1.16
    ISSION
    1.15
    iscal
    1.15
    uppet
    1.15
    uzzle
    1.13
    ONEY
    1.12
    umbai
    1.12
    otive
    1.12
    Activations Density 0.052%

    No Known Activations