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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. 7-RES-JB
    6. 23728
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific character or symbol

    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
     Rag
    -0.70
     ropes
    -0.70
     horizont
    -0.67
     Agric
    -0.64
     Marshal
    -0.62
     snacks
    -0.61
     sacrific
    -0.61
     gad
    -0.60
    Buyable
    -0.59
     snack
    -0.58
    POSITIVE LOGITS
    º
    1.05
    Ĵ
    0.99
    ¹
    0.96
    ¡
    0.95
    ķ
    0.93
    £
    0.92
    ®
    0.87
    ¼
    0.86
    certain
    0.83
    ĵ
    0.83
    Activations Density 0.045%

    No Known Activations