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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. 10-RES-JB
    6. 1796
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    Explanations

    verbs or nouns related to causing harm or damage

    oai_token-act-pair · gpt-3.5-turbo

    words related to destruction or damage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.87
    uchs
    -0.74
    zbek
    -0.70
    gomery
    -0.69
    ussen
    -0.68
    uana
    -0.67
    acus
    -0.66
    liner
    -0.66
    KER
    -0.65
    glas
    -0.64
    POSITIVE LOGITS
     havoc
    1.34
    roying
    0.83
    adoes
    0.82
     wrought
    0.82
     arte
    0.73
     habitats
    0.73
     wre
    0.73
     nests
    0.71
     piles
    0.71
    ados
    0.71
    Activations Density 0.092%

    No Known Activations