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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. 9-RES-JB
    11. 23501
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    INDEX
    Explanations

    names of entities or organizations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to anonymity and privacy in groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emn
    -0.87
    ena
    -0.85
    antle
    -0.77
    inguished
    -0.74
    raf
    -0.71
    xit
    -0.70
     âĢº
    -0.68
    ãĤŃ
    -0.68
    fif
    -0.67
    ãĥ¥
    -0.67
    POSITIVE LOGITS
     whim
    0.93
     subconscious
    0.92
     scripting
    0.87
     random
    0.86
     intuition
    0.85
     personalities
    0.84
     imagination
    0.83
     scripted
    0.82
     whims
    0.82
     subjective
    0.79
    Activations Density 0.980%

    No Known Activations