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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. 4-RES-JB
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    Explanations

    phrases related to legal cases and court proceedings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of legal cases

    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
    Not in Any Lists

    No Comments

    Negative Logits
    erd
    -0.88
    atomic
    -0.83
    undai
    -0.83
    pez
    -0.82
    odes
    -0.81
    oded
    -0.80
    attery
    -0.77
    emouth
    -0.76
    eco
    -0.76
    adena
    -0.74
    POSITIVE LOGITS
    cases
    1.06
     Heller
    0.86
    making
    0.80
     filed
    0.79
    case
    0.76
    suit
    0.72
    suits
    0.71
     Ruk
    0.70
     against
    0.69
     Ecuador
    0.69
    Activations Density 0.030%

    No Known Activations