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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. 8-RES-JB
    11. 9500
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    Explanations

    mentions of access to resources or services

    oai_token-act-pair · gpt-3.5-turbo

    references to access and availability of resources or information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VERT
    -0.69
     ACTIONS
    -0.64
     guiActiveUnfocused
    -0.63
     Rats
    -0.62
     heed
    -0.62
     attRot
    -0.62
     Balloon
    -0.62
     homage
    -0.60
    iatus
    -0.60
    inqu
    -0.60
    POSITIVE LOGITS
     resources
    0.92
     trove
    0.92
     secrets
    0.87
     facilities
    0.86
     databases
    0.86
     bloodstream
    0.85
     premises
    0.84
     database
    0.83
     archives
    0.83
     airspace
    0.80
    Activations Density 0.243%

    No Known Activations