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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 20936
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    Explanations

    adjectives and nouns related to negative or disturbing events or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to atrocities and decadence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ixel
    -0.79
    quickShipAvailable
    -0.79
    arten
    -0.78
    glas
    -0.75
    ocular
    -0.73
     Boards
    -0.72
    RFC
    -0.68
     GOODMAN
    -0.67
    yip
    -0.66
    soType
    -0.66
    POSITIVE LOGITS
     inflicted
    1.18
     perpetrated
    0.99
     havoc
    0.97
     scourge
    0.95
     imaginable
    0.88
     ridden
    0.87
     spew
    0.87
     plag
    0.87
     Incarn
    0.87
     wre
    0.86
    Activations Density 0.297%

    No Known Activations