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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. 11-RES-JB
    11. 5470
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    INDEX
    Explanations

    mentions of specific names or entities in a journalistic context

    oai_token-act-pair · gpt-3.5-turbo

    sentences or sentence endings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
     challeng
    -0.89
     subsequ
    -0.80
     matured
    -0.76
     attrition
    -0.75
     stray
    -0.75
     cloning
    -0.74
     manageable
    -0.74
     rubbish
    -0.73
     worm
    -0.73
     extinguished
    -0.73
    POSITIVE LOGITS
    âĢ
    2.02
    «
    1.52
     âĢ
    1.48
    âĸł
    1.46
    ãĢ
    1.44
    âĢł
    1.42
    ``
    1.42
    âľ
    1.40
    âĸ
    1.40
    âĹı
    1.40
    Activations Density 0.541%

    No Known Activations