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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. 6-RES-JB
    11. 3647
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    INDEX
    Explanations

    references to ideas that are widely accepted or established as the norm within a specific context

    oai_token-act-pair · gpt-3.5-turbo

    the concept of traditional or standard practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gur
    -0.73
    oning
    -0.73
    olulu
    -0.73
    hov
    -0.71
     Janeiro
    -0.69
     Wanted
    -0.68
    ander
    -0.67
    hop
    -0.66
    oran
    -0.65
    hner
    -0.65
    POSITIVE LOGITS
     wisdom
    1.18
    izations
    0.91
    ization
    0.88
    ties
    0.84
    idad
    0.83
    ventional
    0.83
    ised
    0.81
    arily
    0.80
    ities
    0.80
    isation
    0.79
    Activations Density 0.019%

    No Known Activations