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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. 7-RES-JB
    11. 4091
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    INDEX
    Explanations

    expressions related to causality, consequences, and predictions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that imply direct address or engagement with the reader

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.79
    Therefore
    -0.75
     Therefore
    -0.68
    Yesterday
    -0.66
    Recently
    -0.64
    Ident
    -0.63
     Yesterday
    -0.63
    Originally
    -0.62
    visors
    -0.62
     Jaime
    -0.62
    POSITIVE LOGITS
     prest
    1.09
     vo
    0.88
    'll
    0.85
     reap
    0.82
     shalt
    0.78
     magically
    0.78
     invariably
    0.77
     laun
    0.73
     commence
    0.72
    raq
    0.69
    Activations Density 0.296%

    No Known Activations