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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. 6-RES-JB
    11. 13725
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    INDEX
    Explanations

    financial or budget-related terms indicating large amounts over a specified period of time

    oai_token-act-pair · gpt-3.5-turbo

    references to future timelines or timeframes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.76
    lees
    -0.74
    bos
    -0.73
    umenthal
    -0.71
     Franch
    -0.71
    always
    -0.69
    agar
    -0.67
    ini
    -0.67
    elli
    -0.67
     Controls
    -0.65
    POSITIVE LOGITS
     millenn
    1.10
     decade
    1.09
     generation
    1.09
     installment
    1.03
     iteration
    1.00
     generations
    0.96
     batch
    0.93
     week
    0.92
     month
    0.91
     phase
    0.91
    Activations Density 0.025%

    No Known Activations