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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. 17433
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    INDEX
    Explanations

    phrases indicating someone's intentions or plans

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing intent or purpose

    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
    cit
    -0.84
     Tycoon
    -0.75
    apple
    -0.68
    java
    -0.67
     Wolves
    -0.63
     Boss
    -0.62
    uf
    -0.61
     Tornado
    -0.59
     tears
    -0.59
     Videos
    -0.59
    POSITIVE LOGITS
    ality
    1.06
    lessly
    0.94
     intent
    0.86
     intention
    0.86
    ipal
    0.85
    edIn
    0.84
    fulness
    0.83
    eous
    0.82
    reprene
    0.81
    edly
    0.81
    Activations Density 0.009%

    No Known Activations