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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

    mentions of legal statuses or actions involving juveniles

    oai_token-act-pair · gpt-3.5-turbo

    references to juveniles and juvenile-related contexts

    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
    ++++++++++++++++
    -0.86
    ombs
    -0.74
    ding
    -0.74
    witz
    -0.74
    zzle
    -0.73
    cross
    -0.73
    UTERS
    -0.73
    ×Ļ×
    -0.73
    anyahu
    -0.72
    zyme
    -0.71
    POSITIVE LOGITS
     delinqu
    1.45
     delinquent
    1.16
     Juven
    0.94
     juveniles
    0.90
     offenders
    0.88
     juvenile
    0.84
     Gohan
    0.84
    ishly
    0.79
     offender
    0.76
     detention
    0.75
    Activations Density 0.011%

    No Known Activations