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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. 2925
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    Explanations

    phrases indicating additional information or emphasis, such as "What's more"

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the concept of "more" or increasing something

    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
    owder
    -0.68
    IPS
    -0.66
    iets
    -0.65
    tail
    -0.64
    sha
    -0.63
    plings
    -0.62
    sten
    -0.62
    Pers
    -0.61
    osures
    -0.60
    glers
    -0.60
    POSITIVE LOGITS
     importantly
    1.03
     important
    0.99
     likely
    0.94
     worrisome
    0.93
     interesting
    0.93
     intriguing
    0.89
     complicated
    0.87
     frightening
    0.86
     troubling
    0.84
     surprising
    0.84
    Activations Density 0.024%

    No Known Activations