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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. 3-RES-JB
    11. 3273
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    Explanations

    phrases related to fundamental aspects or essential components

    oai_token-act-pair · gpt-3.5-turbo

    terms related to foundational concepts or principles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.90
    soDeliveryDate
    -0.70
    wb
    -0.66
    hao
    -0.65
     electronically
    -0.62
     highest
    -0.61
     benches
    -0.61
    reens
    -0.60
     cooker
    -0.59
    crow
    -0.59
    POSITIVE LOGITS
    ament
    1.18
    arium
    1.00
    aments
    0.97
    edly
    0.89
    endon
    0.80
    arie
    0.79
    atoes
    0.78
    ilage
    0.77
    ations
    0.77
    ally
    0.77
    Activations Density 0.011%

    No Known Activations