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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. 11-RES-JB
    11. 955
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    Explanations

    words related to improving or protecting something, such as animal welfare or business models

    oai_token-act-pair · gpt-3.5-turbo

    topics related to business and economic activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
     Sidd
    -0.95
     Cosponsors
    -0.93
    kens
    -0.90
     throats
    -0.86
    reys
    -0.85
     Sins
    -0.83
    skirts
    -0.81
    oresc
    -0.78
     Dres
    -0.74
     reservoirs
    -0.73
    POSITIVE LOGITS
    item
    1.20
     item
    1.18
     Item
    1.08
    dog
    1.07
     object
    1.04
     dog
    1.03
     animal
    1.01
     monster
    1.01
    object
    0.97
    Item
    0.95
    Activations Density 0.304%

    No Known Activations