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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. 5808
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    INDEX
    Explanations

    instances where the text is instructing or advising an action or course of action

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "look" and its variations, indicating an examination or review of situations or topics

    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
    stem
    -0.73
    âĹ¼
    -0.71
    death
    -0.70
    oled
    -0.68
    ricular
    -0.64
    lov
    -0.64
    ryu
    -0.63
    orb
    -0.63
    oling
    -0.63
    interstitial
    -0.63
    POSITIVE LOGITS
    ahead
    0.77
    ared
    0.73
    ENE
    0.73
     favorably
    0.71
     headlights
    0.69
    opes
    0.66
     attent
    0.66
     suspic
    0.65
     noses
    0.64
     microsc
    0.64
    Activations Density 0.064%

    No Known Activations