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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. 9061
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    Explanations

    phrases related to fundamental elements or principles

    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 @ 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
    ©¶æ
    -0.87
    govtrack
    -0.66
    wb
    -0.64
    crow
    -0.64
    STON
    -0.64
    ²¾
    -0.63
     awa
    -0.63
    hao
    -0.63
    hiba
    -0.63
    erva
    -0.62
    POSITIVE LOGITS
    arium
    1.17
    ament
    1.08
    ally
    0.93
    als
    0.91
    aments
    0.85
    edly
    0.84
    ations
    0.83
    ados
    0.79
    ation
    0.79
    arie
    0.79
    Activations Density 0.013%

    No Known Activations