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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. 16409
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    Explanations

    phrases related to observation or witnessing

    oai_token-act-pair · gpt-3.5-turbo

    references to viewing or witnessing events

    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
    bye
    -0.62
    orth
    -0.62
    RET
    -0.60
     ILCS
    -0.60
    pter
    -0.59
    Topics
    -0.59
    phies
    -0.58
    afort
    -0.56
    economic
    -0.56
    ads
    -0.55
    POSITIVE LOGITS
     unfold
    1.22
     firsthand
    1.04
     unfolding
    1.01
     happen
    0.97
     happening
    0.92
     fit
    0.86
     emanating
    0.81
     emerge
    0.80
    awed
    0.79
     occur
    0.75
    Activations Density 0.056%

    No Known Activations