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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. 9-RES-JB
    6. 6044
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    Explanations

    large monetary figures expressed in different currencies and values

    oai_token-act-pair · gpt-3.5-turbo

    monetary amounts and financial statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Newsletter
    -0.66
     scheduling
    -0.58
     timelines
    -0.58
     schedules
    -0.57
    Fill
    -0.56
     blending
    -0.55
     Catalyst
    -0.54
     Fired
    -0.54
     Flavoring
    -0.54
     unbiased
    -0.53
    POSITIVE LOGITS
    ),"
    1.10
    )
    0.98
    )."
    0.98
    )",
    0.97
    )--
    0.97
    )—
    0.93
    ),
    0.91
    )"
    0.91
    -$
    0.91
    -)
    0.90
    Activations Density 0.068%

    No Known Activations