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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. 3-RES-JB
    11. 15808
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    Explanations

    references to groups or individuals, specifically members of a certain organization or community

    oai_token-act-pair · gpt-3.5-turbo

    references to groups or collectives of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    forest
    -0.69
    trop
    -0.68
     Pwr
    -0.66
    anche
    -0.66
     Situation
    -0.65
    Bear
    -0.64
    Bridge
    -0.63
     Tropical
    -0.63
    BUS
    -0.62
    arm
    -0.61
    POSITIVE LOGITS
    hips
    1.44
    hip
    1.10
    member
    0.93
    doms
    0.89
    members
    0.89
    cius
    0.86
    ertodd
    0.85
     dues
    0.84
     members
    0.81
    ularity
    0.81
    Activations Density 0.034%

    No Known Activations