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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. 11-RES-JB
    11. 4854
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    Explanations

    instances where the word "see," "saw," or "seen" is used

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "see" and its variations, indicating visual perception or observation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bia
    -0.74
    onto
    -0.71
    inion
    -0.71
    nesia
    -0.68
    court
    -0.67
    externalActionCode
    -0.65
    ORPG
    -0.64
    byss
    -0.64
    prime
    -0.63
    idity
    -0.63
    POSITIVE LOGITS
     firsthand
    1.11
     pictures
    1.06
    dust
    0.97
     visions
    0.96
     glimps
    0.94
     footage
    0.93
     flashes
    0.91
     photos
    0.91
     pics
    0.90
     him
    0.89
    Activations Density 0.094%

    No Known Activations