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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. 4332
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    Explanations

    written content about various types of content, such as videos, photos, and interviews

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of multimedia content and interactions

    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
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    No Comments

    Negative Logits
    ¥µ
    -0.73
    uay
    -0.71
    borne
    -0.65
    cone
    -0.62
    uncture
    -0.62
    inence
    -0.61
    amina
    -0.61
     actionGroup
    -0.60
    ulture
    -0.60
    allowed
    -0.60
    POSITIVE LOGITS
     thereof
    0.82
     outlining
    0.78
     info
    0.76
     wherever
    0.74
     thanking
    0.74
     detailing
    0.74
     highlighting
    0.72
     bookmark
    0.69
     thereto
    0.68
     formatting
    0.67
    Activations Density 0.498%

    No Known Activations