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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. 10-RES-JB
    11. 7201
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    Explanations

    exclamatory phrases

    oai_token-act-pair · gpt-3.5-turbo

    exclamation marks and capitalization indicating strong emotion or emphasis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     MFT
    -0.74
    aples
    -0.73
    arcity
    -0.69
     contrasts
    -0.65
    models
    -0.65
     predominantly
    -0.64
    imilar
    -0.62
     )]
    -0.62
    views
    -0.61
     CPC
    -0.60
    POSITIVE LOGITS
    oooo
    1.31
    !
    1.25
    !"
    1.24
    OOOO
    1.18
    aah
    1.17
    oooooooo
    1.16
    !".
    1.16
    ooo
    1.13
    !!
    1.13
    OOOOOOOO
    1.10
    Activations Density 0.303%

    No Known Activations