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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. 12-RES-JB
    11. 3795
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    Explanations

    references to people or groups of people

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to populations and their characteristics or opinions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ò
    -0.93
     teasp
    -0.89
     newcom
    -0.87
    inventoryQuantity
    -0.86
    ãĥ´ãĤ¡
    -0.86
    EStream
    -0.85
    ĸļ
    -0.84
    ãĥ¼ãĥ³
    -0.81
    ñ
    -0.80
    PO
    -0.80
    POSITIVE LOGITS
     nowadays
    1.10
     assume
    1.05
     agree
    1.02
     underestimate
    1.01
     equate
    0.96
     surveyed
    0.96
     fail
    0.94
     misunderstand
    0.93
     confuse
    0.92
     overlook
    0.92
    Activations Density 0.242%

    No Known Activations