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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. 5066
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    Explanations

    phrases related to movements or positions involving physical contact

    oai_token-act-pair · gpt-3.5-turbo

    words related to states of being or physical conditions

    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
    udos
    -0.66
    IJ
    -0.66
    ovi
    -0.63
    estamp
    -0.61
    ãĤ¡
    -0.60
     favor
    -0.59
     semif
    -0.58
     Cosponsors
    -0.58
     prompt
    -0.58
     outcome
    -0.58
    POSITIVE LOGITS
    ipel
    0.91
    edIn
    0.87
     atop
    0.77
    holm
    0.75
     amidst
    0.74
    haven
    0.73
    inar
    0.71
     awaiting
    0.70
    conservancy
    0.69
    Behind
    0.69
    Activations Density 0.165%

    No Known Activations