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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. 15714
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    INDEX
    Explanations

    phrases referencing specific groups of people

    oai_token-act-pair · gpt-3.5-turbo

    references to topics involving individuals or groups

    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
    Loading
    -0.69
    slot
    -0.69
     Chiefs
    -0.65
    case
    -0.65
    grim
    -0.65
    pad
    -0.64
    pattern
    -0.61
     Press
    -0.61
    stage
    -0.60
     Belt
    -0.60
    POSITIVE LOGITS
    soever
    1.76
    umbnails
    0.80
     belong
    0.78
     incidentally
    0.76
     exceeds
    0.75
     resided
    0.73
    izens
    0.72
    ispers
    0.72
     outwe
    0.72
     dearly
    0.72
    Activations Density 0.008%

    No Known Activations