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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 11774
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    Explanations

    names 'Ron' with varying degrees of relevance

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals named Ron

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     td
    -0.67
    hower
    -0.65
     Chiefs
    -0.62
     Annotations
    -0.62
     Pixie
    -0.62
     sugg
    -0.61
     completion
    -0.59
     Dakota
    -0.59
    LOAD
    -0.58
    displayText
    -0.57
    POSITIVE LOGITS
    ald
    0.98
    aldo
    0.95
    ny
    0.95
     Weasley
    0.94
     Swanson
    0.93
    nie
    0.91
    igans
    0.84
    Paul
    0.84
    bie
    0.83
    nen
    0.83
    Activations Density 0.013%

    No Known Activations