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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. 10-RES-JB
    11. 8292
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivable
    -0.73
    ciating
    -0.72
    plet
    -0.70
     lobb
    -0.67
    soDeliveryDate
    -0.63
    milo
    -0.61
    cknow
    -0.61
     undermin
    -0.61
     mosqu
    -0.60
    cats
    -0.59
    POSITIVE LOGITS
    ↵
    0.95
     edit
    0.85
     âĨij
    0.72
    Spoiler
    0.71
    geist
    0.71
    <|endoftext|>
    0.70
    ↵↵
    0.70
     Edit
    0.67
    Merit
    0.64
     Khal
    0.63
    Activations Density 0.016%

    No Known Activations