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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. 24025
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    INDEX
    Explanations

    mentions of personal information or narratives such as names and life experiences

    oai_token-act-pair · gpt-3.5-turbo

    personal details and introductions

    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
     objected
    -0.73
     wary
    -0.70
     countered
    -0.68
     vanquished
    -0.68
     persuaded
    -0.68
     undermined
    -0.66
     favoured
    -0.66
     balk
    -0.66
     flourished
    -0.66
     argued
    -0.65
    POSITIVE LOGITS
     alot
    0.83
     whats
    0.82
     ______
    0.81
     ..."
    0.78
     fuckin
    0.75
     fucking
    0.74
     [+
    0.73
    ..."
    0.73
     tv
    0.73
     english
    0.72
    Activations Density 1.437%

    No Known Activations