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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. 7-RES-JB
    11. 10059
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    Explanations

    terms related to investigation or extraction processes

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to business, interrogation techniques, and excavation activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Doctrine
    -0.77
     Penet
    -0.73
    dress
    -0.70
     Dragonbound
    -0.67
     Shack
    -0.67
     Belt
    -0.66
     DRAG
    -0.65
     belt
    -0.64
     Formation
    -0.63
    ness
    -0.63
    POSITIVE LOGITS
    ators
    1.90
    ational
    1.77
    ations
    1.77
    ating
    1.76
    ator
    1.72
    ative
    1.61
    atory
    1.58
    ates
    1.58
    ated
    1.49
    atively
    1.46
    Activations Density 0.098%

    No Known Activations