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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. 2-RES-JB
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    Explanations

    specific references to official documents or notes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "memorandum."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    girl
    -0.75
    ille
    -0.75
    rises
    -0.69
    TOP
    -0.68
    akespe
    -0.66
    tics
    -0.66
    girls
    -0.65
    apo
    -0.64
    leigh
    -0.64
    olves
    -0.63
    POSITIVE LOGITS
    andum
    1.62
     memorandum
    1.10
     Memor
    0.91
     agre
    0.84
    ĸļ
    0.81
    ftime
    0.81
    isode
    0.79
    ophon
    0.79
    ually
    0.79
    ãĤ´ãĥ³
    0.77
    Activations Density 0.011%

    No Known Activations