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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. 6-RES-JB
    11. 12189
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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
    ãĢİ
    -0.70
     foundations
    -0.65
     redemption
    -0.64
     guiName
    -0.63
     Gleaming
    -0.62
     obscurity
    -0.61
    classes
    -0.61
     persever
    -0.61
    aterasu
    -0.60
    urers
    -0.59
    POSITIVE LOGITS
    )
    1.25
    )--
    1.20
    )]
    1.19
    ),"
    1.17
    )"
    1.16
    +)
    1.15
    )—
    1.14
    )(
    1.14
    âĢ¦)
    1.11
    -)
    1.06
    Activations Density 0.108%

    No Known Activations