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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. 11631
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    Explanations

    words related to style, design, or artistic representation

    oai_token-act-pair · gpt-3.5-turbo

    words related to stylistic elements and characteristics

    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
    EStream
    -0.85
    MQ
    -0.77
    Spoiler
    -0.72
    addafi
    -0.70
     Alonso
    -0.68
    ARR
    -0.67
     Unicorn
    -0.66
     Rae
    -0.66
     CVE
    -0.65
    å°Ĩ
    -0.65
    POSITIVE LOGITS
    ological
    1.20
    ology
    1.17
    otype
    1.14
    ipes
    1.13
    otypes
    1.10
    ographs
    1.09
    ologically
    1.05
    cer
    1.04
    iped
    1.02
    iors
    1.01
    Activations Density 0.061%

    No Known Activations