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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
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    Explanations

    expressions of desire or regret

    oai_token-act-pair · gpt-3.5-turbo

    expressions of longing or desire

    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
    iph
    -0.61
    lishes
    -0.61
    ulative
    -0.59
    cpp
    -0.59
    advant
    -0.58
    Ranked
    -0.57
    advertisement
    -0.57
     slang
    -0.56
    analy
    -0.56
    smoking
    -0.55
    POSITIVE LOGITS
    mares
    0.96
     wishes
    0.94
    bringer
    0.94
    bone
    0.86
     aloud
    0.82
    bones
    0.82
     wished
    0.81
     wish
    0.77
    mare
    0.76
    ful
    0.75
    Activations Density 0.016%

    No Known Activations