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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. 9-RES-JB
    11. 14230
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    Explanations

    phrases related to the act of doing something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to daily activities and routines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sticks
    -0.67
     bells
    -0.63
    ynes
    -0.62
    stick
    -0.62
    quickShipAvailable
    -0.60
     Sent
    -0.60
    CHAT
    -0.59
    ILA
    -0.57
    prus
    -0.57
     Saudis
    -0.57
    POSITIVE LOGITS
    inyl
    0.89
     implementing
    0.78
     fulfilling
    0.78
     obtaining
    0.78
     peacefully
    0.77
     exercising
    0.76
     constructing
    0.76
     undet
    0.75
     arranging
    0.75
    finding
    0.74
    Activations Density 0.076%

    No Known Activations