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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. 8-RES-JB
    11. 12279
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    Explanations

    groups of people, such as friends, partners, crew, and colleagues, with a higher focus on companions

    oai_token-act-pair · gpt-3.5-turbo

    references to groups of people or associates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uncture
    -0.72
    ension
    -0.66
    imon
    -0.61
    mination
    -0.59
     BET
    -0.59
     cess
    -0.59
    itor
    -0.58
    Specific
    -0.58
    eries
    -0.58
    Zip
    -0.58
    POSITIVE LOGITS
     alike
    1.01
    mates
    0.93
     respectively
    0.74
     embarked
    0.73
    axter
    0.72
     were
    0.67
    mate
    0.67
    è»
    0.64
     sailed
    0.64
     intend
    0.63
    Activations Density 0.210%

    No Known Activations