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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. 20499
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    Explanations

    superlatives related to negative situations or events

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "worst" in various contexts

    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
    agine
    -0.90
    raltar
    -0.82
    dinand
    -0.82
    itialized
    -0.77
    andise
    -0.75
    ools
    -0.73
    ulton
    -0.73
    trl
    -0.73
    arya
    -0.72
    leans
    -0.71
    POSITIVE LOGITS
     nightmare
    0.92
     offenders
    0.91
     offender
    0.91
     imaginable
    0.83
     nightmares
    0.78
     behaved
    0.76
     possible
    0.73
     losers
    0.72
    worst
    0.71
    liest
    0.70
    Activations Density 0.018%

    No Known Activations