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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. 9-RES-JB
    11. 5434
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    Explanations

    phrases related to actions taken or decisions made

    oai_token-act-pair · gpt-3.5-turbo

    action verbs related to decision-making and communication processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Fit
    -0.59
    urus
    -0.58
    ãģĦ
    -0.56
     stripes
    -0.55
    onga
    -0.54
    tons
    -0.54
     Chapters
    -0.54
    orum
    -0.54
     yak
    -0.54
     sexes
    -0.53
    POSITIVE LOGITS
     unanimously
    0.94
     yesterday
    0.89
     jointly
    0.86
     AFTER
    0.85
     shortly
    0.85
     earlier
    0.83
     incidentally
    0.82
    terday
    0.80
     concurrently
    0.79
     by
    0.79
    Activations Density 0.207%

    No Known Activations