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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. 1-RES-JB
    11. 13515
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    Explanations

    verbs related to analyzing, understanding, or interpreting something in detail

    oai_token-act-pair · gpt-3.5-turbo

    terms related to parsing and processing information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    double
    -0.85
    hold
    -0.84
    izu
    -0.76
    ship
    -0.72
     Celestial
    -0.71
    illard
    -0.70
     Lakes
    -0.70
    ships
    -0.67
     Quit
    -0.66
    redo
    -0.66
    POSITIVE LOGITS
     pars
    1.21
     parser
    1.14
     parsed
    1.10
     parsing
    1.09
     parse
    1.03
     guiActiveUn
    0.87
    Parser
    0.85
    asus
    0.84
    oded
    0.78
     Pars
    0.77
    Activations Density 0.012%

    No Known Activations