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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. 9-RES-JB
    11. 23791
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    Explanations

    phrases related to importance or key components of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases describing essential or integral components of various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osponsors
    -0.67
     Klux
    -0.66
    usalem
    -0.64
    eez
    -0.63
     spores
    -0.63
     widow
    -0.61
    rums
    -0.60
     Wolves
    -0.59
    cffff
    -0.58
     rob
    -0.57
    POSITIVE LOGITS
     of
    0.97
     thereof
    0.91
    OF
    0.70
    stay
    0.70
    aking
    0.69
    Of
    0.65
     motivating
    0.62
     ingrained
    0.61
     integral
    0.61
     underpin
    0.60
    Activations Density 0.106%

    No Known Activations