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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. 17498
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    Explanations

    phrases related to surveillance or monitoring

    oai_token-act-pair · gpt-3.5-turbo

    references to the act of monitoring or keeping attention on specific subjects

    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
    hement
    -0.84
    ©¶æ¥µ
    -0.76
    igham
    -0.73
    ivari
    -0.72
    anchester
    -0.72
     sidx
    -0.71
    ãĥ¯ãĥ³
    -0.68
    iott
    -0.67
    ̶
    -0.67
    artney
    -0.66
    POSITIVE LOGITS
     developments
    0.77
     lest
    0.77
     monitors
    0.67
     afar
    0.67
     closely
    0.65
     sunset
    0.65
     Monitor
    0.64
     incoming
    0.64
     passers
    0.63
     pixels
    0.62
    Activations Density 0.161%

    No Known Activations