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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. 14487
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    keywords related to various industries and sectors

    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
    è¦ļéĨĴ
    -0.72
    DAY
    -0.71
    borgh
    -0.68
    forced
    -0.64
    requires
    -0.61
    mate
    -0.60
     Failure
    -0.59
     Errors
    -0.58
     backups
    -0.58
    rand
    -0.56
    POSITIVE LOGITS
     industry
    1.54
     community
    1.46
    osphere
    1.41
     world
    1.39
     scene
    1.31
     ecosystem
    1.30
     realm
    1.26
     landscape
    1.24
     sector
    1.24
     sphere
    1.23
    Activations Density 0.468%

    No Known Activations