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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. 2885
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    Explanations

    references to religious figures, particularly angels

    oai_token-act-pair · gpt-3.5-turbo

    references to angels and evangelical themes

    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
    RF
    -0.77
    ©¶æ
    -0.71
    etsy
    -0.70
     worn
    -0.68
    rost
    -0.68
    HM
    -0.67
    riet
    -0.64
    rf
    -0.63
     Rack
    -0.62
    Effective
    -0.61
    POSITIVE LOGITS
    angel
    1.25
    iations
    0.89
    izations
    0.83
    isations
    0.83
    isation
    0.82
    ove
    0.81
    iation
    0.80
    icals
    0.79
    ista
    0.78
    flower
    0.78
    Activations Density 0.008%

    No Known Activations