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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. 16615
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    Explanations

    the concept of regret

    oai_token-act-pair · gpt-3.5-turbo

    expressions of regret and remorse

    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
    æ©Ł
    -0.74
    soDeliveryDate
    -0.71
    DragonMagazine
    -0.68
    enne
    -0.64
    irrel
    -0.63
    女
    -0.63
    OVA
    -0.63
    uana
    -0.62
    apache
    -0.62
    paio
    -0.61
    POSITIVE LOGITS
    fully
    1.25
    ful
    1.00
    fulness
    0.92
    ting
    0.90
    terday
    0.88
    staking
    0.87
    ably
    0.85
    lessly
    0.84
     parting
    0.80
    faced
    0.80
    Activations Density 0.047%

    No Known Activations