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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. 10-RES-JB
    11. 960
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    Explanations

    actions or events that could have been prevented or handled better

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express hypothetical situations or regret about past events

    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
    apeshifter
    -0.60
    ennett
    -0.59
    idth
    -0.59
     resid
    -0.58
    interstitial
    -0.57
    verend
    -0.56
     Deb
    -0.56
     nightly
    -0.56
     recurrent
    -0.55
    inki
    -0.55
    POSITIVE LOGITS
     sooner
    1.34
     wiser
    1.01
     avoided
    0.90
     prevented
    0.87
     earlier
    0.87
     simpler
    0.85
     nicer
    0.85
     quicker
    0.82
     better
    0.82
     differently
    0.82
    Activations Density 0.310%

    No Known Activations