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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. 8-RES-JB
    11. 5592
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    Explanations

    phrases related to correlations or comparisons depending on multiple factors

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a relationship between quantity and effect

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çīĪ
    -0.66
    opian
    -0.64
    opol
    -0.64
     captcha
    -0.64
    aways
    -0.62
    romy
    -0.60
    izon
    -0.59
    ournals
    -0.59
    wagen
    -0.58
    igs
    -0.58
    POSITIVE LOGITS
     better
    0.87
     clearer
    0.82
     healthier
    0.79
     Adren
    0.79
     stronger
    0.79
     louder
    0.77
     harder
    0.75
    der
    0.75
     greater
    0.73
     less
    0.72
    Activations Density 0.132%

    No Known Activations