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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. 3-RES-JB
    6. 21857
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    Explanations

    acronyms related to technology and decision-making, particularly 'ICT'

    oai_token-act-pair · gpt-3.5-turbo

    acronyms and abbreviations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ishes
    -0.61
     optionally
    -0.59
     liabilities
    -0.57
    ishers
    -0.55
     RU
    -0.54
     Choi
    -0.54
    OPLE
    -0.53
     eventual
    -0.53
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.51
     Crunch
    -0.51
    POSITIVE LOGITS
     myself
    0.92
    umerable
    0.88
    etus
    0.79
    ¿½
    0.78
    saw
    0.72
    miah
    0.69
    medium
    0.67
    qt
    0.67
    lus
    0.66
    agree
    0.65
    Activations Density 0.203%

    No Known Activations