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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. 6-RES-JB
    11. 2827
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    Explanations

    phrases related to enforcement or crackdown actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to enforcement actions or measures against specific issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Incarnation
    -0.72
     Baptist
    -0.69
     laure
    -0.69
    jac
    -0.67
    tein
    -0.65
    ensical
    -0.65
    ãĤ¤ãĥĪ
    -0.62
     consec
    -0.61
     Norn
    -0.60
    hof
    -0.60
    POSITIVE LOGITS
     crackdown
    0.85
     enforced
    0.80
     enforcing
    0.78
    senal
    0.78
     against
    0.77
    riminal
    0.77
     administr
    0.76
     punitive
    0.75
     harshly
    0.74
     regimes
    0.74
    Activations Density 0.057%

    No Known Activations