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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
    11. 4515
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    Explanations

    words related to legal and criminal activities, particularly focused on the concept of excavation/digging

    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal or judicial processes

    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
    fell
    -0.86
    wich
    -0.81
    horn
    -0.77
    hand
    -0.75
    pool
    -0.74
    lopp
    -0.73
    lund
    -0.71
    lessly
    -0.69
    Proof
    -0.69
    birth
    -0.69
    POSITIVE LOGITS
    ón
    1.32
    enda
    1.15
    uracy
    0.90
    oup
    0.89
    aci
    0.88
    és
    0.87
    encies
    0.87
    zona
    0.86
    ó
    0.83
    ency
    0.83
    Activations Density 0.021%

    No Known Activations