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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. 1434
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    Explanations

    phrases containing the action of going out and doing something impactful or assertive

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize continual actions or ongoing activities

    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
     guidance
    -0.61
    etheless
    -0.58
    erred
    -0.58
     nods
    -0.57
    iment
    -0.57
     disson
    -0.57
    ictions
    -0.57
     Kund
    -0.56
     Wise
    -0.55
     trending
    -0.55
    POSITIVE LOGITS
     buy
    1.00
     retrieve
    0.91
     purchase
    0.89
     collect
    0.89
     inspect
    0.89
     explore
    0.83
     bought
    0.82
     meet
    0.80
     steal
    0.79
     find
    0.79
    Activations Density 0.143%

    No Known Activations