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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. 6-RES-JB
    6. 16601
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    Explanations

    mathematical expressions involving addition and numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and mathematical symbols

    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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    Negative Logits
    ":["
    -0.77
     Sloven
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    estern
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    ï¸
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    ãģ®éŃĶ
    -0.62
     Mous
    -0.61
     accordingly
    -0.61
     conduc
    -0.60
     Rouhani
    -0.59
    ï¸ı
    -0.59
    POSITIVE LOGITS
    uncle
    0.76
    inent
    0.71
    spread
    0.67
    ittal
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    advertising
    0.66
    illusion
    0.65
    artifacts
    0.65
    olate
    0.64
    etta
    0.62
    rox
    0.60
    Activations Density 0.130%

    No Known Activations