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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. 2-RES-JB
    11. 14963
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    Explanations

    numbers representing quantities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific numbers, particularly those related to age or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    berman
    -0.82
    TM
    -0.72
    aque
    -0.70
    ushes
    -0.70
    ller
    -0.69
    HC
    -0.68
     Palestin
    -0.67
    ridge
    -0.64
    lance
    -0.64
    Ms
    -0.64
    POSITIVE LOGITS
    teen
    1.16
     hundred
    1.11
    teenth
    1.08
     thousand
    1.06
    eteen
    1.01
    een
    1.00
    eenth
    1.00
    fold
    0.93
     months
    0.90
    uous
    0.89
    Activations Density 0.008%

    No Known Activations