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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. 22788
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    Explanations

    phrases related to suitability or convenience for various tasks or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate suitability or appropriateness for various scenarios

    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
    ãĤ¦ãĤ¹
    -0.72
    aturally
    -0.67
    ))))
    -0.66
     presided
    -0.66
    osal
    -0.65
     voted
    -0.64
    ceivable
    -0.64
    heard
    -0.63
    iannopoulos
    -0.61
    uthor
    -0.61
    POSITIVE LOGITS
     beginners
    1.15
     locating
    1.01
     debugging
    0.90
     detecting
    0.85
     storing
    0.85
     establishing
    0.84
     converting
    0.84
     navigating
    0.83
     beginner
    0.83
     combating
    0.82
    Activations Density 0.215%

    No Known Activations