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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. 14941
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    Explanations

    expressions related to someone's attitude towards a situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express a lack of concern or indifference

    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
    é¾
    -0.79
    into
    -0.72
    ãĤµ
    -0.72
    EStreamFrame
    -0.70
    æ©Ł
    -0.69
    Avg
    -0.68
    ãģ®å
    -0.68
    dayName
    -0.68
    /**
    -0.67
    INE
    -0.67
    POSITIVE LOGITS
    lessly
    1.02
    otrop
    0.75
     blowing
    0.72
     tossing
    0.70
    fulness
    0.68
     watering
    0.66
    stocks
    0.66
     provoking
    0.65
     swallowing
    0.65
     uploading
    0.65
    Activations Density 0.011%

    No Known Activations