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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 13162
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    INDEX
    Explanations

    technical computer-related terms, specifically focusing on processors

    oai_token-act-pair · gpt-3.5-turbo

    references to octopus-related themes

    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
    Interstitial
    -1.04
    culosis
    -0.85
    HCR
    -0.76
    ACTED
    -0.75
    ãģĦ
    -0.68
     Hots
    -0.68
     Tycoon
    -0.68
    adder
    -0.67
     Responsibility
    -0.66
     Limbaugh
    -0.64
    POSITIVE LOGITS
    opus
    1.51
    agonal
    1.14
    oct
    1.11
    agon
    1.11
    ober
    1.04
    ave
    0.97
    urnal
    0.92
    uple
    0.92
    osed
    0.92
    agons
    0.91
    Activations Density 0.012%

    No Known Activations