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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. 1-RES-JB
    11. 16399
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    Explanations

    words related to enterprise or business computing

    oai_token-act-pair · gpt-3.5-turbo

    references to "enterprise" in the context of business applications and solutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Keller
    -0.66
    idi
    -0.65
    zbollah
    -0.65
    printed
    -0.65
    adder
    -0.64
    thia
    -0.63
    kowski
    -0.62
     Lama
    -0.62
    eworld
    -0.61
    dim
    -0.60
    POSITIVE LOGITS
     enterprise
    1.18
     enterprises
    1.05
     ventures
    0.94
    prise
    0.90
    eers
    0.87
    olicy
    0.84
     venture
    0.82
     establishments
    0.82
     endeavor
    0.77
     endeavors
    0.76
    Activations Density 0.006%

    No Known Activations