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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. 7-RES-JB
    11. 7941
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    Explanations

    verbs related to negative or criminal actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to crime and legal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Founders
    -0.70
    DK
    -0.70
     monop
    -0.67
     charism
    -0.63
    govtrack
    -0.63
     fundament
    -0.63
    izon
    -0.61
    Already
    -0.60
     heterogeneity
    -0.60
     Everywhere
    -0.59
    POSITIVE LOGITS
     Forensic
    0.79
    nsic
    0.79
     forensic
    0.77
    chan
    0.73
    Alert
    0.73
     guiActiveUn
    0.69
    ctor
    0.69
     parole
    0.68
     Penal
    0.66
     condol
    0.65
    Activations Density 1.337%

    No Known Activations