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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. 16933
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    Explanations

    mentions of dedication or commitment to certain actions or causes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating commitment

    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
    DragonMagazine
    -1.05
    waves
    -0.68
    proxy
    -0.67
    zynski
    -0.66
     tipped
    -0.65
    CHR
    -0.64
    isons
    -0.63
    soDeliveryDate
    -0.63
    æĺ
    -0.63
     previews
    -0.62
    POSITIVE LOGITS
     preserving
    0.92
     conserve
    0.89
     improving
    0.89
     maintaining
    0.88
     excellence
    0.88
     secrecy
    0.83
     ensuring
    0.77
     keeping
    0.77
     achieving
    0.77
    ournal
    0.75
    Activations Density 0.079%

    No Known Activations