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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. 9-RES-JB
    11. 17637
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    Explanations

    discussion about grades and assessments

    oai_token-act-pair · gpt-3.5-turbo

    sentences discussing economic systems and their impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ↵Âł
    -0.95
     Whilst
    -0.90
    ,,,,
    -0.85
     whilst
    -0.84
    ³³
    -0.84
     !!
    -0.83
     english
    -0.76
     ³³
    -0.75
    ³³³³
    -0.75
    Âł
    -0.74
    POSITIVE LOGITS
    —"
    0.79
    Enlarge
    0.73
     POLITICO
    0.70
     postwar
    0.67
     —
    0.65
     contrace
    0.64
     ré
    0.64
     ÂŃ
    0.64
    naissance
    0.62
     broader
    0.60
    Activations Density 2.306%

    No Known Activations