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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. 9-RES-JB
    11. 11331
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    Explanations

    phrases indicating a need for action or improvement

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a call to action or the necessity for change

    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
    anka
    -0.78
    Runner
    -0.75
    paio
    -0.72
    ullivan
    -0.69
    ozyg
    -0.65
    ãĤ§
    -0.65
    washer
    -0.65
    iannopoulos
    -0.64
    ilty
    -0.63
     Milky
    -0.62
    POSITIVE LOGITS
     urgently
    1.26
     reforms
    1.15
     rethink
    1.13
     reform
    1.13
     reforming
    1.09
     overhaul
    1.06
     improvement
    1.04
     improvements
    1.02
     improving
    0.97
     improved
    0.97
    Activations Density 0.707%

    No Known Activations