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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. 5695
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    INDEX
    Explanations

    phrases or expressions related to achieving high scores or accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    actions related to accumulating or recording statistics and performance metrics in sports contexts

    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
    embed
    -0.83
    Newsletter
    -0.76
    ARC
    -0.69
    wid
    -0.68
    webkit
    -0.66
    Acknowled
    -0.65
    inventoryQuantity
    -0.65
    udeb
    -0.64
    anyl
    -0.64
    matter
    -0.64
    POSITIVE LOGITS
     averages
    1.06
     nine
    1.00
     eight
    0.98
     seven
    0.98
     victories
    0.94
     wins
    0.93
     129
    0.92
     29
    0.92
     13
    0.92
     four
    0.91
    Activations Density 0.107%

    No Known Activations