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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. 7-RES-JB
    11. 3844
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    INDEX
    Explanations

    significant moments or events that mark a change or development in a narrative or situation

    oai_token-act-pair · gpt-3.5-turbo

    significant moments or turning points in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Importance

    No Comments

    Negative Logits
    ancies
    -0.94
    apons
    -0.74
     cramped
    -0.73
    ©¶æ
    -0.72
    inately
    -0.70
     occupancy
    -0.68
    tails
    -0.67
     guessed
    -0.65
     throats
    -0.64
     roofs
    -0.64
    POSITIVE LOGITS
     milestone
    0.94
     opportunity
    0.80
     achievement
    0.78
     whistlebl
    0.74
     asset
    0.74
    izational
    0.73
    icon
    0.73
     empowering
    0.70
    atform
    0.69
     accomplishment
    0.69
    Activations Density 0.387%

    No Known Activations