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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 10872
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    Explanations

    elements that require user interaction such as clicking on buttons or links

    oai_token-act-pair · gpt-3.5-turbo

    interaction prompts or calls to action

    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
    BIP
    -0.74
    oust
    -0.68
    DoS
    -0.68
    ELF
    -0.68
    ;;;;;;;;;;;;
    -0.67
    BuyableInstoreAndOnline
    -0.66
    cade
    -0.65
    eu
    -0.65
    ARB
    -0.65
    ynthesis
    -0.64
    POSITIVE LOGITS
     button
    1.23
    button
    1.03
     icon
    1.02
     arrow
    1.00
     link
    0.98
     buttons
    0.97
     "+
    0.95
     green
    0.94
     thumbnail
    0.93
     banner
    0.92
    Activations Density 0.046%

    No Known Activations