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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. 1579
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    Explanations

    phrases related to juvenile justice and legal matters involving juveniles

    oai_token-act-pair · gpt-3.5-turbo

    terms related to juvenile legal and social 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
    Not in Any Lists

    No Comments

    Negative Logits
    ding
    -0.76
    âķIJ
    -0.75
    anyahu
    -0.71
    ãĥ©
    -0.71
    lessly
    -0.69
    ãĥķãĤ©
    -0.69
    generic
    -0.68
    bsite
    -0.67
    âķIJâķIJ
    -0.66
    pr
    -0.65
    POSITIVE LOGITS
     delinqu
    1.30
     delinquent
    1.12
     detention
    0.95
     Juven
    0.91
     Detention
    0.78
     juveniles
    0.75
     correctional
    0.73
    ishly
    0.72
     Gohan
    0.71
    egal
    0.71
    Activations Density 0.041%

    No Known Activations