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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 9991
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eleph
    -1.33
    aditional
    -1.12
    ortunately
    -1.11
    Þ
    -1.11
    ThumbnailImage
    -1.08
    Ĝ
    -1.07
     exting
    -1.07
    ě
    -1.07
     RandomRedditor
    -1.07
    é¾įå¥
    -1.07
    POSITIVE LOGITS
    âĶĢâĶĢâĶĢâĶĢ
    0.70
    Merit
    0.62
    Õ
    0.59
    alog
    0.59
     eq
    0.58
    :{
    0.57
    },"
    0.57
    vil
    0.56
    Level
    0.54
    oret
    0.54
    Activations Density 0.170%

    No Known Activations