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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. 7-RES-JB
    11. 18807
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    Explanations

    mentions of something being missed or negligence

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "miss" and its variations, indicating neglect or absence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĤ¯
    -0.87
    ãĥĦ
    -0.77
    uliffe
    -0.74
    SPONSORED
    -0.70
    Cola
    -0.70
    ãĥ³ãĤ¸
    -0.70
    rir
    -0.69
    ials
    -0.68
    çī
    -0.68
    ãĥ¼ãĥĨ
    -0.67
    POSITIVE LOGITS
    psey
    0.88
     altogether
    0.86
     dearly
    0.82
     deadlines
    0.81
     spots
    0.80
     opportunity
    0.79
    ometown
    0.78
     opportunities
    0.75
     rehearsal
    0.72
    _>
    0.71
    Activations Density 0.097%

    No Known Activations