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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. 20077
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    Explanations

    terms related to legal environments or court proceedings

    oai_token-act-pair · gpt-3.5-turbo

    references to court-related contexts or judicial proceedings

    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
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    No Comments

    Negative Logits
    AMI
    -0.70
    orian
    -0.68
    OV
    -0.65
     Shining
    -0.63
    orians
    -0.63
    irts
    -0.63
    ORN
    -0.61
     curfew
    -0.61
    arians
    -0.61
     buckle
    -0.59
    POSITIVE LOGITS
    tyard
    1.80
    thouse
    1.43
    tesy
    1.37
    sers
    1.27
    ser
    1.22
    ten
    1.15
    tes
    1.15
    sing
    1.13
    ses
    1.13
    tain
    1.04
    Activations Density 0.046%

    No Known Activations