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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. 3-RES-JB
    11. 2864
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    important health-related issues and warnings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     nutshell
    -0.61
     )]
    -0.59
     Masquerade
    -0.55
     Mush
    -0.53
     FANTASY
    -0.53
     Maple
    -0.53
     Emails
    -0.53
     spoilers
    -0.53
     Shows
    -0.52
     Planes
    -0.50
    POSITIVE LOGITS
     respectively
    0.77
    }.
    0.74
     thereby
    0.74
     theirs
    0.74
    '."
    0.73
     nonetheless
    0.70
    '.
    0.68
    ]."
    0.66
     nevertheless
    0.64
     therein
    0.64
    Activations Density 3.392%

    No Known Activations