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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. 2-RES-JB
    11. 13730
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    INDEX
    Explanations

    mentions of thoughts, ideas, or mental processes

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "minds" or mental states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ded
    -0.66
    thumbnails
    -0.64
    Yan
    -0.60
    Published
    -0.59
    Recomm
    -0.57
     LIA
    -0.56
    reek
    -0.56
    EStreamFrame
    -0.56
     precipitation
    -0.56
    é¾
    -0.56
    POSITIVE LOGITS
    ets
    1.11
    chool
    1.02
     minds
    0.94
    fulness
    0.85
    pring
    0.84
    pots
    0.82
    erves
    0.80
    erver
    0.80
    peak
    0.79
    utra
    0.78
    Activations Density 0.006%

    No Known Activations