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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 15146
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    Explanations

    words related to specific processes or systems

    oai_token-act-pair · gpt-3.5-turbo

    terms related to processes and systems, particularly in contexts of evaluation and selection

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ç·
    -0.73
    å§«
    -0.67
    ãĤ¤ãĥĪ
    -0.66
    thumbnails
    -0.66
    APTER
    -0.64
    inventoryQuantity
    -0.62
    æ©
    -0.61
    ãģĦ
    -0.60
    clinton
    -0.60
    ãĥ©ãĥ³
    -0.59
    POSITIVE LOGITS
     overseen
    0.61
    raught
    0.58
    elist
    0.57
    hops
    0.57
     hose
    0.56
    phrase
    0.56
     coupled
    0.55
     extraord
    0.55
     geared
    0.54
    ablished
    0.54
    Activations Density 0.421%

    No Known Activations