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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. 13203
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    Explanations

    combinations of the word 'and' with other words, particularly focusing on 'and' as the connecting element

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and phrases indicating continuation or connection in discourse

    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
    uct
    -0.69
    ibble
    -0.66
    âĨij
    -0.65
    Optional
    -0.64
    CHAT
    -0.63
     Airl
    -0.62
    ince
    -0.61
    entary
    -0.61
    uction
    -0.60
    anz
    -0.60
    POSITIVE LOGITS
     hopefully
    0.96
     luckily
    0.94
     deserves
    0.92
     thankfully
    0.90
     rightfully
    0.89
     fortunately
    0.89
     consequently
    0.87
     aims
    0.85
     frankly
    0.85
     thus
    0.84
    Activations Density 0.272%

    No Known Activations