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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. 9-RES-JB
    11. 20115
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    Explanations

    instances of the word "pernicious", regardless of context

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases associated with the prefix "per" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bley
    -0.71
     front
    -0.68
     Luxembourg
    -0.62
     fronts
    -0.61
    mble
    -0.58
    Joy
    -0.58
    bane
    -0.54
     distinction
    -0.54
     manufact
    -0.54
     LAT
    -0.54
    POSITIVE LOGITS
    ctory
    0.98
    APS
    0.95
    imity
    0.87
    isites
    0.78
    etric
    0.78
    haps
    0.77
    entric
    0.76
    enza
    0.75
    icular
    0.73
    cia
    0.72
    Activations Density 0.068%

    No Known Activations