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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. 4-RES-JB
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    Explanations

    instances of dialogue where someone is speaking

    oai_token-act-pair · gpt-3.5-turbo

    instances of dialogue or speech attribution

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

    No Comments

    Negative Logits
    folios
    -0.83
    xtap
    -0.78
    uras
    -0.75
    ugal
    -0.74
    ritional
    -0.72
    otive
    -0.72
    taboola
    -0.68
    gencies
    -0.68
    EMBER
    -0.68
    equipped
    -0.68
    POSITIVE LOGITS
     goodbye
    1.10
     aloud
    0.87
     sarcast
    0.81
     hello
    0.80
     bye
    0.77
     bluntly
    0.76
     YES
    0.74
     Goodbye
    0.74
    :]
    0.69
     yes
    0.67
    Activations Density 0.209%

    No Known Activations