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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. 5429
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    Explanations

    years expressed as four-digit numbers

    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical data, particularly related to statistics and rates

    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
    ned
    -0.69
    mens
    -0.68
    ²¾
    -0.67
     innocence
    -0.64
    topic
    -0.63
    empt
    -0.63
    mast
    -0.61
     mustache
    -0.60
    clus
    -0.59
    obi
    -0.58
    POSITIVE LOGITS
    according
    1.04
     according
    1.04
     Statistics
    0.94
     Bloomberg
    0.93
    phabet
    0.89
     STATS
    0.89
     surpass
    0.86
    depending
    0.86
     estimates
    0.85
     outp
    0.85
    Activations Density 0.347%

    No Known Activations