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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
    11. 7075
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    Explanations

    phrases related to advocating for or fighting for various causes

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing advocacy and fighting for rights or causes

    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

    No Comments

    Negative Logits
    fleet
    -0.86
    edin
    -0.73
    clair
    -0.71
    æ³
    -0.70
    HUD
    -0.69
    wordpress
    -0.67
    Fle
    -0.66
    lein
    -0.64
    é¾
    -0.63
    BuyableInstoreAndOnline
    -0.63
    POSITIVE LOGITS
    geries
    1.05
    gery
    1.02
    gotten
    0.98
    bidden
    0.95
     inclusion
    0.84
    WARD
    0.82
    aging
    0.81
     equality
    0.77
     independence
    0.76
     authenticity
    0.76
    Activations Density 0.143%

    No Known Activations