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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. 20666
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    Explanations

    positive emotions and attitudes

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal feelings and emotional states

    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
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    No Comments

    Negative Logits
     sidx
    -0.56
    anian
    -0.52
    acion
    -0.51
     ILCS
    -0.51
    apeake
    -0.51
    ottest
    -0.51
     bedrooms
    -0.50
    akeru
    -0.49
     acad
    -0.49
     simulator
    -0.48
    POSITIVE LOGITS
     abound
    0.57
    ĨĴ
    0.55
     otherwise
    0.54
    etheless
    0.52
     stemming
    0.51
    ãĥ¼ãĥĨ
    0.50
     outweigh
    0.48
     elic
    0.47
     motives
    0.46
     latent
    0.46
    Activations Density 4.037%

    No Known Activations