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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. 3-RES-JB
    11. 20804
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    INDEX
    Explanations

    phrases related to quickly gathering or perceiving information

    oai_token-act-pair · gpt-3.5-turbo

    references to quick observations or superficial assessments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĹ¼
    -0.86
    ricular
    -0.73
    CENT
    -0.73
    erto
    -0.70
    unic
    -0.68
    MQ
    -0.66
     Palestin
    -0.66
    icted
    -0.65
    rss
    -0.65
    acus
    -0.64
    POSITIVE LOGITS
     glance
    1.06
     glances
    0.81
     quizz
    0.77
    lessly
    0.76
     Takeru
    0.75
    ENE
    0.75
    ahead
    0.74
    escription
    0.74
     peek
    0.71
     retrospect
    0.71
    Activations Density 0.011%

    No Known Activations