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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. 1-RES-JB
    11. 8669
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    Explanations

    instances where a quantity or multitude of items is being emphasized

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "several" indicating multiple instances or occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atum
    -0.81
    amen
    -0.73
    ander
    -0.72
    ieu
    -0.70
    aby
    -0.68
    cel
    -0.67
    live
    -0.67
    drive
    -0.67
    ola
    -0.65
    ige
    -0.65
    POSITIVE LOGITS
    een
    0.97
     hundred
    0.85
    dozen
    0.83
     dozen
    0.82
     thousand
    0.75
     thous
    0.74
     Sigma
    0.73
     Ways
    0.73
    theless
    0.73
    eenth
    0.72
    Activations Density 0.009%

    No Known Activations