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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. 20998
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    Explanations

    phrases related to legal or official actions and documents

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically commas

    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
    iple
    -0.70
    ¬¼
    -0.68
    ety
    -0.66
    odes
    -0.62
     misunder
    -0.58
    §
    -0.58
    natureconservancy
    -0.58
    OME
    -0.56
    enhagen
    -0.55
    ocry
    -0.55
    POSITIVE LOGITS
     albeit
    1.09
     namely
    1.06
     respectively
    1.03
     etc
    0.99
     although
    0.96
     whereas
    0.91
     including
    0.86
     which
    0.86
     however
    0.85
     aka
    0.82
    Activations Density 2.020%

    No Known Activations