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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. 9-RES-JB
    11. 1705
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    Explanations

    technical details related to tracking and monitoring physical activities and health

    oai_token-act-pair · gpt-3.5-turbo

    terms related to tracking and monitoring physiological parameters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.85
    itutional
    -0.77
    reon
    -0.76
    ortium
    -0.75
    ruary
    -0.72
    udeb
    -0.72
    starter
    -0.69
     apolog
    -0.69
    lished
    -0.69
    reau
    -0.69
    POSITIVE LOGITS
     vibrations
    1.40
     signals
    1.14
     whereabouts
    1.14
     vibration
    1.14
     temperature
    1.11
     ultraviolet
    1.09
     movements
    1.08
     infrared
    1.08
     incoming
    1.03
     wavelengths
    1.03
    Activations Density 0.529%

    No Known Activations