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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. 3-RES-JB
    11. 16651
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    Explanations

    questions or inquiries within textual contexts

    oai_token-act-pair · gpt-3.5-turbo

    questions and inquiries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     encount
    -0.87
     slam
    -0.74
     ankles
    -0.73
     binge
    -0.71
    aled
    -0.70
    kee
    -0.70
    aper
    -0.70
    eping
    -0.69
     docks
    -0.69
     advoc
    -0.69
    POSITIVE LOGITS
     Why
    1.07
     Well
    1.02
     Probably
    1.02
     Where
    1.02
     Surely
    1.01
     What
    1.01
     Certainly
    0.98
     Nope
    0.98
     Anyway
    0.95
     Does
    0.95
    Activations Density 0.121%

    No Known Activations