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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. 5658
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    Explanations

    phrases indicating a significant event or change

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating ongoing actions or changes

    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
     performing
    -0.66
    SHIP
    -0.62
     behold
    -0.61
     scra
    -0.60
    abee
    -0.59
     shalt
    -0.59
    Interested
    -0.59
     recall
    -0.57
     juggling
    -0.57
     observing
    -0.57
    POSITIVE LOGITS
     been
    1.55
    been
    1.37
     arisen
    1.23
     Been
    1.20
     resulted
    1.15
     become
    1.14
     occurred
    1.08
     gotten
    1.06
     begun
    1.04
     fallen
    1.01
    Activations Density 0.219%

    No Known Activations