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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. 1-RES-JB
    11. 401
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    Explanations

    phrases related to the intentions or goals behind actions or projects

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of purpose

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Buffett
    -0.68
     Ryder
    -0.64
     Roses
    -0.64
     Chips
    -0.63
     Cous
    -0.62
     Sierra
    -0.62
    thumbnails
    -0.61
     Messi
    -0.61
     Davis
    -0.61
     Leopard
    -0.60
    POSITIVE LOGITS
    ful
    1.12
    lessly
    1.06
    lessness
    1.00
    fulness
    0.98
    folios
    0.98
    fully
    0.90
    ality
    0.90
    fare
    0.86
     purpose
    0.85
    racuse
    0.81
    Activations Density 0.007%

    No Known Activations