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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 16512
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiName
    -0.96
    etheless
    -0.88
    ãĢİ
    -0.75
    profits
    -0.74
    fml
    -0.74
    blance
    -0.74
    azard
    -0.73
    depend
    -0.71
    MpServer
    -0.69
    VIDIA
    -0.68
    POSITIVE LOGITS
     .)
    1.40
    .)
    1.30
    â̦)
    1.26
    )"
    1.17
    )
    1.14
    )."
    1.10
    )--
    1.08
    !)
    1.08
    .")
    1.07
    )(
    1.06
    Activations Density 0.117%

    No Known Activations