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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. 4-RES-JB
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    Explanations

    superlatives indicating the extreme negativity of a situation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "worst" used to describe negative situations or experiences

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

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    Negative Logits
    itialized
    -0.83
    ulton
    -0.77
    dinand
    -0.77
    ijk
    -0.77
    iverpool
    -0.75
    ittees
    -0.74
    autions
    -0.74
    agine
    -0.74
    raltar
    -0.74
    cles
    -0.72
    POSITIVE LOGITS
     nightmare
    0.96
     imaginable
    0.88
     offender
    0.87
     offenders
    0.82
    worst
    0.79
     behaved
    0.78
     worst
    0.77
     possible
    0.75
     nightmares
    0.74
     joke
    0.73
    Activations Density 0.017%

    No Known Activations