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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. 0-RES-JB
    11. 12693
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    Explanations

    references to messaging or communication

    oai_token-act-pair · gpt-3.5-turbo

    references to messaging systems and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asc
    -0.87
     Absolute
    -0.70
     Poles
    -0.69
    relative
    -0.68
     Il
    -0.67
    acc
    -0.65
    wood
    -0.65
    ert
    -0.65
     Occup
    -0.64
    uncle
    -0.63
    POSITIVE LOGITS
     messaging
    3.73
     messages
    1.90
     message
    1.85
     messenger
    1.80
     Messages
    1.80
     texting
    1.65
     Message
    1.50
    mess
    1.50
    message
    1.49
     WhatsApp
    1.44
    Activations Density 0.011%

    No Known Activations