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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 6561
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    Explanations

    mentions of legal and administrative processes related to placement, admission, deportation, detention, recruitment, collection, forfeiture, and relocation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal processes and institutional classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.75
    urnal
    -0.74
    mic
    -0.71
    rica
    -0.71
    pered
    -0.70
    quart
    -0.70
    osphere
    -0.70
    icial
    -0.69
    micro
    -0.69
    apor
    -0.68
    POSITIVE LOGITS
     prevention
    0.93
     ceremonies
    0.88
     fees
    0.88
     Practices
    0.84
     schedules
    0.83
     derby
    0.82
     services
    0.81
    eering
    0.80
     proceedings
    0.78
     detention
    0.77
    Activations Density 0.139%

    No Known Activations