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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
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    Explanations

    words related to the brain and mental processes

    oai_token-act-pair · gpt-3.5-turbo

    references to the brain and related cognitive concepts

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Rhod
    -0.75
    atern
    -0.67
     Prosecut
    -0.65
     Rhodes
    -0.64
     Apart
    -0.60
     Ascend
    -0.60
    ocally
    -0.58
     Antiqu
    -0.58
     Specific
    -0.57
    between
    -0.56
    POSITIVE LOGITS
    geist
    0.93
    fuck
    0.90
     fart
    0.87
    ãĥĦ
    0.82
    wash
    0.81
    share
    0.80
    wagon
    0.78
    buster
    0.77
    adelphia
    0.76
    washed
    0.75
    Activations Density 0.104%

    No Known Activations