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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. 12-RES-JB
    11. 2649
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    Explanations

    references to surveillance or keeping watch on a situation

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases that mention keeping watch or monitoring situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \/\/
    -0.65
     Chero
    -0.65
    ENN
    -0.63
    Enough
    -0.63
    asus
    -0.62
    IA
    -0.62
    ASC
    -0.61
    VIDIA
    -0.60
    aining
    -0.60
    anos
    -0.59
    POSITIVE LOGITS
     peeled
    1.31
     open
    0.94
     glued
    0.94
     eye
    0.86
    ful
    0.81
     on
    0.81
     out
    0.79
    atching
    0.79
     tuned
    0.79
     stocked
    0.71
    Activations Density 0.040%

    No Known Activations