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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. 4-RES-JB
    11. 14524
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    INDEX
    Explanations

    words related to significant or impactful events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of significant occurrences or historical events

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

    No Comments

    Negative Logits
    artisan
    -0.91
    ilings
    -0.84
    elled
    -0.75
     Excellence
    -0.75
     pigeon
    -0.74
    mbuds
    -0.73
    oba
    -0.73
    unicip
    -0.72
    nington
    -0.72
    otto
    -0.71
    POSITIVE LOGITS
     occurring
    1.00
     transpired
    0.99
     unfolding
    0.96
     unfold
    0.96
    uate
    0.94
    uating
    0.90
     occurred
    0.89
     events
    0.86
     unfolded
    0.85
     happened
    0.84
    Activations Density 0.036%

    No Known Activations