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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. 2-RES-JB
    11. 23158
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    Explanations

    technical terms and keywords related to technology, such as "feature teams," "organization," and "settings."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to disruptive change or innovation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    }.
    -0.55
    .).
    -0.53
    %).
    -0.53
    âĵĺ
    -0.53
     respectively
    -0.52
    $.
    -0.51
    ]."
    -0.48
    ".
    -0.48
    %.
    -0.48
    their
    -0.48
    POSITIVE LOGITS
    endum
    0.54
     aback
    0.54
    iple
    0.52
     seiz
    0.48
     :=
    0.48
    iott
    0.48
     resil
    0.47
    olicy
    0.46
     glim
    0.45
     misunderstand
    0.45
    Activations Density 6.225%

    No Known Activations