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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. 3-RES-JB
    11. 20062
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    Explanations

    strings of characters or words within sentences

    oai_token-act-pair · gpt-3.5-turbo

    terms related to strings and string manipulation in programming

    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
    ebus
    -0.85
    Sensor
    -0.84
    arak
    -0.78
    mare
    -0.78
    armac
    -0.75
    姫
    -0.74
    kens
    -0.73
     Rider
    -0.72
    rador
    -0.72
    abouts
    -0.70
    POSITIVE LOGITS
     readable
    0.95
     ASCII
    0.91
    acters
    0.88
     formatted
    0.87
     literal
    0.86
     encoded
    0.84
     liter
    0.83
     strings
    0.80
     delim
    0.79
     filename
    0.79
    Activations Density 0.111%

    No Known Activations