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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. 6-RES-JB
    11. 14694
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    Explanations

    words related to thermal or temperature concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to therapeutic and healing topics

    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
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    Negative Logits
    ULAR
    -0.73
     Blow
    -0.73
     Darkness
    -0.70
    ELS
    -0.66
    ãĥĥãĥī
    -0.65
     Grayson
    -0.64
     Blind
    -0.63
     Fridays
    -0.63
     Staten
    -0.63
     Superintendent
    -0.62
    POSITIVE LOGITS
    anos
    1.04
    apist
    1.00
    rha
    1.00
    ron
    1.00
    apy
    0.97
    rones
    0.95
    idge
    0.94
    mop
    0.93
    rien
    0.89
    rox
    0.88
    Activations Density 0.023%

    No Known Activations