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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. 11-RES-JB
    11. 23257
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    INDEX
    Explanations

    desires or regrets expressed through hypothetical situations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of regret and reflection on past actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Became
    -0.70
    ighting
    -0.61
    elist
    -0.59
     Appears
    -0.59
     unofficial
    -0.59
     Expect
    -0.58
    interstitial
    -0.58
     unexplained
    -0.56
     recurrent
    -0.56
     newcomers
    -0.55
    POSITIVE LOGITS
     sooner
    1.62
     earlier
    1.16
    Instead
    1.11
    instead
    1.03
     wiser
    1.02
     quicker
    1.00
     Instead
    0.98
     instead
    0.94
     clearer
    0.92
     Ago
    0.91
    Activations Density 0.431%

    No Known Activations