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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. 11-RES-JB
    11. 3680
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to sections or topics within a structured document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mosqu
    -0.61
     lobb
    -0.61
     undermin
    -0.60
    urat
    -0.59
    cknow
    -0.58
     neighb
    -0.58
    tered
    -0.56
     paraly
    -0.55
     manif
    -0.55
    ciating
    -0.55
    POSITIVE LOGITS
    ↵
    1.06
    <|endoftext|>
    0.92
    ↵↵
    0.87
    geist
    0.78
     edit
    0.75
     ]
    0.71
     âĨij
    0.67
    Spoiler
    0.64
     [/
    0.62
    Merit
    0.62
    Activations Density 0.015%

    No Known Activations