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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. 16485
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    Explanations

    companies and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to various companies and organizations

    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
    heart
    -0.84
     Landing
    -0.71
    Magikarp
    -0.69
    chal
    -0.67
     impat
    -0.65
    itiveness
    -0.64
     arrival
    -0.64
     waking
    -0.63
    tale
    -0.62
     Explan
    -0.62
    POSITIVE LOGITS
     specializes
    1.48
     specialize
    1.31
     promotes
    1.18
     regulates
    1.14
     operates
    1.10
     oversees
    1.08
     employs
    1.08
     facilitates
    1.07
     collects
    1.06
     investigates
    1.05
    Activations Density 0.276%

    No Known Activations