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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. 8713
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    INDEX
    Explanations

    opinions or perceptions regarding various topics

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating perceptions or impressions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    isin
    -0.66
     stash
    -0.63
    aughs
    -0.61
    oÄŁ
    -0.60
     Strikes
    -0.59
    hide
    -0.59
     Hunts
    -0.59
     learns
    -0.58
     Frie
    -0.58
     Clicker
    -0.57
    POSITIVE LOGITS
     innocuous
    0.97
     daunting
    0.88
     superf
    0.87
     confusing
    0.78
     intimidating
    0.77
     trivial
    0.77
     harmless
    0.75
     insignificant
    0.75
     synonymous
    0.75
    intuitive
    0.75
    Activations Density 0.082%

    No Known Activations