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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. 4-RES-JB
    11. 15605
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    Explanations

    verbs related to mental processes, such as understanding, imagining, believing, and comprehending

    oai_token-act-pair · gpt-3.5-turbo

    expressions of difficulty in understanding or imagining concepts

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

    No Comments

    Negative Logits
     teasp
    -0.76
    ãĤ¸
    -0.72
    alde
    -0.65
    rongh
    -0.65
    assadors
    -0.62
     Neuroscience
    -0.62
     pione
    -0.60
    vertisement
    -0.59
    church
    -0.58
    shall
    -0.58
    POSITIVE LOGITS
     anymore
    0.87
    uate
    0.79
    pick
    0.73
    detail
    0.72
    athom
    0.70
     anything
    0.69
    vre
    0.68
     anywhere
    0.67
     MPG
    0.66
    notice
    0.64
    Activations Density 0.135%

    No Known Activations