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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. 10-RES-JB
    11. 24491
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    Explanations

    proper nouns like names of organizations or groups

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "members" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tropical
    -0.65
    trop
    -0.64
    BUS
    -0.63
    ILLE
    -0.61
    ption
    -0.61
    ©¶æ
    -0.60
    ijn
    -0.58
    fters
    -0.57
     Trop
    -0.57
     Fountain
    -0.57
    POSITIVE LOGITS
    hips
    1.82
    hip
    1.31
    doms
    0.95
     dues
    0.90
    meal
    0.85
    members
    0.84
    member
    0.83
    ials
    0.79
     of
    0.78
    ority
    0.77
    Activations Density 0.049%

    No Known Activations