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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. 6-RES-JB
    11. 20489
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    Explanations

    situations where a process makes something more convenient or solves a problem

    oai_token-act-pair · gpt-3.5-turbo

    references to companies or products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Transcript
    -0.68
     Doctors
    -0.66
     Pesh
    -0.65
    omsky
    -0.63
     Alger
    -0.60
     Gaddafi
    -0.60
    Newsletter
    -0.57
     Guant
    -0.57
     Rodham
    -0.56
     deport
    -0.55
    POSITIVE LOGITS
    etheless
    1.06
     downright
    0.85
     anyways
    0.80
     nonetheless
    0.78
     damn
    0.75
     darn
    0.75
     pretty
    0.72
    .).
    0.72
     devs
    0.72
     subconscious
    0.71
    Activations Density 1.494%

    No Known Activations