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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 22125
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    Explanations

    phrases related to legal contexts and court systems

    oai_token-act-pair · gpt-3.5-turbo

    references to legal courts and their decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Marketable
    -0.66
     Valkyrie
    -0.66
     Hallow
    -0.65
     Austral
    -0.64
     Horde
    -0.64
     Motorsport
    -0.63
     Reload
    -0.62
     Soldier
    -0.62
    Austral
    -0.60
     Barbar
    -0.59
    POSITIVE LOGITS
    hip
    1.04
    esan
    0.88
    iard
    0.86
    wright
    0.85
    rooms
    0.81
    suits
    0.81
    krit
    0.81
    icing
    0.80
    breakers
    0.80
    zona
    0.80
    Activations Density 0.017%

    No Known Activations